50+ SQL Jobs in Bangalore (Bengaluru) | SQL Job openings in Bangalore (Bengaluru)

We are looking for a skilled Python & PySpark Developer with strong expertise in Big Data technologies, Spark, SQL/PL-SQL, and REST API development using Flask or Django. The ideal candidate should have experience building scalable data pipelines, processing large datasets, developing APIs, and working with distributed computing frameworks.

Key Responsibilities

• Develop, optimize, and maintain scalable data pipelines using PySpark and Apache Spark.
• Design, develop, and optimize complex SQL and PL/SQL queries, stored procedures, functions, and database objects.
• Build and maintain RESTful APIs using Flask or Django.
• Develop robust Python applications for data engineering and backend services.
• Process and analyze large-scale datasets using Big Data technologies.
• Optimize Spark jobs for performance, scalability, and reliability.
• Integrate APIs with internal and external systems.
• Collaborate with cross-functional teams including Data Engineers, Data Scientists, and Application Developers.
• Troubleshoot production issues and implement performance improvements.
• Follow coding standards, version control, and CI/CD best practices.

Mandatory Skills

• Strong proficiency in Python programming.
• Hands-on experience with PySpark and Apache Spark.
• Strong SQL coding skills.
• Experience with PL/SQL development.
• Experience in Big Data ecosystem.
• REST API development using Flask or Django.
• Experience in developing and consuming Python APIs.
• Knowledge of data processing, ETL, and distributed computing.
• Experience with Git/version control.

Preferred Skills

• Experience with Hadoop ecosystem (Hive, HDFS, YARN).
• Exposure to cloud platforms such as AWS, Azure, or GCP.
• Knowledge of Airflow or other workflow orchestration tools.
• Experience with Docker and Kubernetes.
• Familiarity with Kafka or other streaming technologies.
• Understanding of CI/CD pipelines.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 4–8+ years of experience in Python and Big Data development (can be adjusted based on the role).

Required Experience

• Strong hands-on experience in Python, PySpark, and Apache Spark.
• Extensive experience writing optimized SQL and PL/SQL code.
• Experience developing REST APIs using Flask or Django.
• Experience working with large-scale data processing and ETL pipelines.
• Strong analytical, debugging, and problem-solving skills.

Mandatory Skills: Python, PySpark, SQL Coding, Apache Spark, Big Data, Flask/Django (REST API), PL/SQL, Python APIs.

Who are we?

Trendlyne is a funded, profitable products startup in the financial markets space. We have cutting-edge analytics products built for Indian and US customers, for stock markets and mutual funds.

Our founders are IIT + IIM graduates, with strong tech and marketing experience. We have top finance and management experts on the Board of Directors.

What do we do?

We build powerful analytics in the US and Indian stock market space that are best-in-class. Organic growth in B2B and B2C products has already made the company profitable. We deliver 1 billion+ APIs every month to B2B customers, and have a B2C website and app.

Visit us at trendlyne.com, or look for the Trendlyne mobile app on the Google Play Store:

https://play.google.com/store/apps/details?id=com.trendlyne.markets

Tech Stack:

• Postman
• Newman
• Bruno 
• Playwright
• Selenium
• Puppeteer 

Job Responsibilities : 

• Design, develop, and maintain scalable UI and API automation frameworks from scratch.
• Build and execute automated test suites for frontend, backend, and API applications using tech stacks like Playwright, Selenium, Puppeteer, Postman, Newman, and Bruno.
• Develop automation for web applications, APIs, and distributed microservices.
• Perform white-box and black-box testing to ensure application quality.
• Integrate automation suites into CI/CD pipelines using tools like Newman and Bruno CLI.
• Identify, track, and resolve defects while improving test stability, execution speed, and overall automation efficiency.
• Collaborate with developers, DBAs, and product managers to ensure quality throughout the development lifecycle.
• Mentor junior QA engineers, review automation scripts, and promote best practices in quality engineering.
• Drive continuous improvements in automation frameworks, testing methodologies, and engineering processes.

Required Skills & Qualifications:

• 4+ years of experience as an SDET, Automation Engineer, or Full-Stack QA.
• Hands-on experience with UI automation using Playwright, Selenium, and/or Puppeteer.
• Strong experience in API testing and automation using Postman / Newman or Bruno.
• Proficient in JavaScript for building automation scripts, API test assertions, and test utilities.
• Strong understanding of REST APIs, HTTP/HTTPS, JSON, authentication mechanisms (JWT/OAuth), and microservices architecture.
• Experience with white-box and black-box testing, and automation design patterns such as Page Object Model (POM).
• Familiarity with BDD frameworks (e.g., Cucumber) and modern testing practices.
• Experience with Git and integrating automation suites into CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI.
• Working knowledge of SQL for database validation and backend testing.

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Job Title: 

Role Overview

We are seeking a high-performing Senior Power BI Analyst / Developer to design, build, and optimize our next-generation enterprise analytics platform. In this role, you will be the core architect of our data visualization layer, turning complex data streams into actionable executive insights.

The ideal candidate bridges the gap between traditional business intelligence and modern cloud data engineering. You will be responsible for building highly performant, scalable data models on Azure and creating seamless, near real-time reporting solutions utilizing streaming data and Change Data Capture (CDC) pipelines.

Key Responsibilities

1. Advanced Data Modeling & Performance Tuning

Design, implement, and maintain enterprise-grade, highly scalable data models (Star and Snowflake schemas) within Power BI and Azure Analysis Services/Fabric.

Optimize complex DAX queries, M code, and data loading processes to ensure sub-second dashboard responsiveness on large-scale datasets.

Implement advanced performance-tuning strategies, including aggregations, incremental refreshing, and hybrid tables (combining Import and DirectQuery).

2. Streaming Analytics & Real-Time Reporting

Architect and implement near real-time dashboards utilizing Power BI streaming datasets, push datasets, and automatic page refreshes.

Integrate reporting front-ends with modern Change Data Capture (CDC) architectures to surface low-latency transactional updates.

Partner with data engineering teams to ingest and model fast-moving event data coming from cloud streams into analytical reporting structures.

3. Azure Architecture Integration

Leverage the Azure data stack (Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure Databricks, and Azure SQL DB) to build robust downstream reporting layers.

Participate in the orchestration of data pipelines (using Azure Data Factory or Synapse pipelines) to align with dashboard refresh schedules.

Embrace modern Power BI developer workflows using Tabular Editor, ALM Toolkit, DAX Studio, and Git integration for version control.

Required Technical Skills & Qualifications

Experience: 3-5+ years of dedicated experience developing, modeling, and tuning enterprise Power BI solutions, with at least 2+ years operating within an Azure cloud ecosystem.

Expert DAX & Power Query: Mastery of complex DAX computations (time-intelligence, advanced filtering) and optimized M-code data transformations.

Modern Data Paradigms: Proven experience handling Streaming Data or CDC (Change Data Capture) patterns (e.g., streaming from Debezium, Azure Event Hubs, Kafka, or Synapse Link) into Power BI.

Azure Stack Expertise: Solid working knowledge of Azure data resources (Synapse, Data Factory, Azure SQL, or Azure Fabric Lakehouses).

Data Engineering Concepts: Deep understanding of data warehousing concepts, including slowly changing dimensions (SCDs), partitioning, and indexing strategies.

Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related quantitative field (or equivalent practical experience).

Preferred (Nice-to-Have) Skills

Microsoft Certifications: PL-300 (Power BI Data Analyst) or DP-600 (Fabric Analytics Engineer).

Experience with CI/CD deployment pipelines for Power BI deployment pipelines or Azure DevOps.

Familiarity with SQL performance tuning (analyzing execution plans, optimizing views, and indexing).

About the Role

You'll be at the forefront of designing and implementing robust data platform solutions that power advanced analytics, AI, and machine learning. Working with modern cloud technologies, you'll build scalable data foundations that enable clients to make smarter, data-driven decisions.

Key Responsibilities

• Build scalable data pipelines using Snowflake, AWS, GCP, and Databricks.
• Design and optimize data models for AI and machine learning workloads.
• Develop reliable data foundations for MLOps, governance, and data lineage.
• Integrate data from multiple sources into modern data platforms.
• Leverage Snowpark ML and Snowflake's native AI capabilities.
• Ensure data platforms are secure, scalable, and high-performing.

What We're Looking For

• 5+ years of hands-on experience with Snowflake.
• Strong proficiency in SQL and Python.
• Experience with AWS, Azure, or GCP.
• Knowledge of cloud storage services such as S3, ADLS, or GCS.
• Strong understanding of Dimensional Modeling and Data Vault.
• Experience with Scala or Java is a plus.

Tech Stack

• Data Warehouse: Snowflake
• Programming: SQL, Python, Scala (Good to Have), Java (Good to Have)
• Cloud: AWS, Azure, GCP
• Storage: S3, ADLS, GCS
• AI/ML: Snowpark ML, MLOps

Perks & Benefits

• Public Speaking & Communication Program
• Mentoring Program with Senior Support Leads
• 360° Progress Reviews
• Weekly Learning Sessions & Guilds
• Paid Certifications
• Hackathons & Innovation Days
• Recognition & Rewards Programs
• Team Socials & Annual Offsites
• Employee Assistance Program (24/7 Wellbeing Support)

The Data People Shaping Tomorrow

Our client helps organizations unlock the power of data through modern cloud, analytics, and AI solutions. We believe in creating an environment where talented technologists can learn, innovate, and make a real impact while building cutting-edge data platforms for global clients. If you're passionate about data engineering and want to work with the latest technologies in AI, cloud, and analytics, we'd love to hear from you.

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery,

manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.

Here’s a link to our website: www.impactanalytics.co.

Impact Analytics builds AI-powered, Cloud-Native products and platforms. As we tackle increasingly complex backend challenges, we are looking for seasoned backend architects to collaborate with product and engineering teams in shaping the future of enterprise software.

Meet the Team: Rooted in AI and Engineering first principles, our cross-functional teams of ML and AI Engineers and Data Scientist thrive in a fast-paced, innovation-driven environment. We emphasize collaboration, continuous learning, and high-impact delivery. Our backend teams specialize in modern frameworks, data platforms, infrastructure engineering, DevOps practices, and scalable service architectures. Top performers are recognized, valued, and supported with ample growth opportunities.

Role Overview: This is a senior-level, individual contributor role focused on hands-on technical leadership in backend architecture. The role is centered around three core areas:

● Drive complex backend architecture initiatives that span across multiple engineering and technology domains.

● Lead strategic R&D efforts to evaluate new backend technologies, frameworks, and methodologies, and champion their adoption company-wide. ● Spearhead our Multi-Cloud & Hybrid-Cloud backend strategies, ensuring scalable, secure, and resilient architecture patterns.

What our ideal candidate may look like:

● 14+ years of software development experience, with at least 4 years as an Architect or Staff Engineer role, particularly in backend systems.

● A backend technology expert with in-depth, hands-on experience in building and scaling enterprise SaaS with distributed architecture, In depth knowledge of Rest and Event driven architecture with low latency and high-throughput in memory systems.

● Designing stateful backend to handle large data including message broker, distributed queue, caching. Good understanding of High Availability and Disaster recovery for the critical production system.

● In depth understanding of Async, Multi Threading and Multi Processing Architecture to ensure our system efficiently use the programming principle for higher concurrency support

● Proficiency in following programming languages (Python, Rust), with a strong foundation in software engineering principles. Knowledge of Rust is a strong plus, especially in the context of high-performance, memory safety and ownership.

● Deep understanding of system design, database architecture (SQL & NoSQL), microservices, observability, resilience engineering, and secure coding practices.

● Exposure to big data platforms, stream processing, machine learning infrastructure, and multi-cloud environments (e.g., AWS, GCP, Azure) is preferred.

● Excellent communicator and collaborator, with the ability to influence and align cross-functional stakeholders.

● Proven experience mentoring engineers and guiding architectural decisions at scale.

What We Offer

● Opportunity to lead large, high-impact projects for global Fortune 500 clients.

● Work in a high-growth startup environment with a flat, collegial culture.

● Best-in-class remuneration and benefits.

● A platform for personal and professional growth with ownership and autonomy.

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software LeaderBoard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications.

About Impact Analytics

Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of th eAgentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention. Here’s a link to our website: www.impactanalytics.co.

The impact that you will be making

As a senior data scientist, you will help us discover the information hidden in vast amounts of data and help us make smarter decisions to deliver even better products. Primary focus will be in applying data mining techniques, performing statistical analysis, and building high quality prediction systems that can be integrated with our products.

What this role entail

● Understand and translate statistics and analytics to address client business problems.

● Apply Statistical forecasting algorithms to forecast client business needs for short term and long-term horizon.

● Explore Machine learning and Deep learning techniques to improve statistical Forecasting accuracy.

● Create business narrative by using storytelling and Visualization techniques and to present analytical insights to clients.

● Structure business problems and design solutions to meet client needs.

● Develop sophisticated analytical frameworks that add value to the client and result in new projects and revenue streams.

● Develop and implement analytical methodologies, processes, and technological solutions that integrate diverse information solutions and generate analytical insights.

What lands you in this role

● At least 3 years hands-on experience as a data scientist working on SQL, Python

● Must have exposure to developing predictive analytics and machine learning algorithms for business applications

● Strong forecasting and Deep Learning experience will be a plus

● Hands-on experience in relevant tools like SQL, Python, Tableau, etc.

● B Tech/ BE or equivalent degree in Data Science, Statistics, Computer Science, or similar

Some of our accolades include:

● Ranked as one of America's Fastest-Growing Companies by Financial Times for five consecutive years: 2020-2024.

● Ranked as one of America's Fastest-Growing Private Companies by Inc. 5000 for seven consecutive years: 2018-2024.

● Voted #1 by more than 300 retailers worldwide in the RIS Software Leaderboard 2024 report.

● Ranked #72 in America’s Most Innovative Companies list in 2023—by Fortune—alongside companies like Microsoft, Tesla, Apple, IBM, etc.

● Forged a strategic partnership with Google to equip retailers with cutting-edge generative AI tools.

● Recognized in multiple Gartner reports, including Market Guides and Hype Cycle, spanning assortments, merchandising, forecasting, algorithmic retailing, and Unified Price, Promotion, and Markdown Optimization Applications. Economic Times News about our funding can be accessed here.

Job Summary

We are seeking a motivated Data Engineer with strong skills in SQL, Python, and Linux to design, build, and maintain scalable data pipelines and support data-driven decision-making. The ideal candidate should have experience working with large datasets, ETL processes, and relational databases while ensuring data quality and performance.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write optimized SQL queries, stored procedures, and database objects.
• Develop Python scripts for data extraction, transformation, and automation.
• Work in Linux environments to manage scripts, cron jobs, and system processes.
• Monitor and troubleshoot data pipeline failures.
• Ensure data integrity, consistency, and quality across systems.
• Collaborate with data analysts, software engineers, and business stakeholders.
• Optimize database performance and query execution.
• Participate in code reviews and follow best engineering practices.

Required Skills

• Strong proficiency in SQL (joins, subqueries, window functions, CTEs, indexing, query optimization).
• Good programming experience in Python.
• Hands-on experience with Linux commands and shell scripting.
• Understanding of ETL/ELT concepts and data warehousing.
• Knowledge of relational databases such as PostgreSQL, MySQL, Oracle, or SQL Server.
• Familiarity with Git for version control.
• Strong problem-solving and analytical skills.

Job Summary

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate should have strong expertise in SQL, Python, Linux, and modern data engineering practices to support data integration, transformation, and analytics.

Key Responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Write efficient and optimized SQL queries for data extraction, transformation, and reporting.
• Develop automation scripts using Python for data processing and workflow optimization.
• Work with Linux environments for deployment, monitoring, and troubleshooting.
• Ensure data quality, integrity, and reliability across data platforms.
• Collaborate with data analysts, software engineers, and business stakeholders to deliver data solutions.
• Monitor, troubleshoot, and optimize data pipelines for performance and scalability.
• Implement best practices for data security, governance, and documentation.

Required Skills

• Strong experience in Data Engineering concepts and ETL/ELT processes.
• Proficiency in SQL, including query optimization and database design.
• Strong programming skills in Python.
• Hands-on experience with Linux commands, shell scripting, and system administration basics.
• Experience with relational databases such as PostgreSQL, MySQL, SQL Server, or Oracle.
• Familiarity with Git/version control.
• Strong analytical and problem-solving skills.

Preferred Skills

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Apache Spark, Airflow, Kafka, or similar data engineering tools.
• Experience with data warehousing solutions and big data technologies.
• Understanding of CI/CD pipelines and containerization (Docker/Kubernetes).

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• Relevant certifications in cloud or data engineering are an added advantage.

Position Title: Data Scientist

Employment Type: Full-Time

Experience: 3-4 years

Preferred: Male Candidate

Interview Mode: F2F Interview

Working Days: 6 days a week (2nd and 4th Saturday half day and 1st and 3rd Saturday full day)

Job Description

We are seeking a skilled and analytical Data Scientist to join our Team. The ideal candidate will be responsible for analyzing large and complex datasets, developing predictive models, and implementing machine learning algorithms to enhance banking products and business decision-making.

The role involves designing intelligent solutions for fraud detection, automated credit scoring, customer analytics, recommendation systems, and other AI-driven financial applications.

Key Responsibilities

·        Develop, train, and optimize machine learning models for predictive analytics.

·        Perform data mining, statistical analysis, and exploratory data analysis on structured and unstructured datasets.

·        Build scalable AI and machine learning solutions for banking and financial applications.

·        Design and implement fraud detection, credit scoring, and recommendation systems.

·        Collect, process, clean, and validate data to ensure quality and accuracy.

·        Integrate internal and external data sources to improve analytical capabilities.

·        Create automated anomaly detection systems and continuously monitor their performance.

·        Design algorithms to solve business challenges in the banking and financial services domain.

·        Present analytical findings and business insights through reports and dashboards.

·        Collaborate with software developers, business analysts, and product teams to integrate AI solutions into BankSoft products.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Data Science, Artificial Intelligence, Statistics, Mathematics, or a related field.
• 3–4 years of experience in Data Science or Machine Learning.
• Strong knowledge of machine learning algorithms such as:
• Decision Trees & Random Forests
• Support Vector Machines (SVM)
• Naïve Bayes
• K-Nearest Neighbors (K-NN)
• Clustering and Classification techniques
• Proficiency in Python and data science libraries such as:
• NumPy
• Pandas
• Scikit-learn
• TensorFlow or PyTorch (preferred)
• Experience with SQL and relational databases.
• Knowledge of NoSQL databases such as MongoDB or Cassandra.
• Strong understanding of statistics, regression analysis, probability distributions, and hypothesis testing.
• Experience with data visualization tools such as Power BI, Tableau, Microsoft SSRS, or Matplotlib.
• Knowledge of AI concepts including predictive analytics and recommendation engines.
• Good programming and scripting skills.
• Strong analytical and problem-solving abilities.
• Excellent communication and presentation skills.

Preferred Skills

• Experience in Banking, Financial Services, or FinTech.
• Knowledge of credit risk modelling, fraud analytics, or customer behaviour analysis.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud is an added advantage.
• Understanding of MLOps and model deployment is desirable.

Machine Learning Engineer (For client company)

Location: Bengaluru, India (Hybrid/Onsite)

Experience: 3–4 years

The Role

We are looking for a Machine Learning Engineer to build and productionize models that power fall detection, vitals monitoring, and predictive health insights from radar sensor data.

You will work closely with hardware, data engineering, backend, and product teams to improve model accuracy, reduce false alarms, and deploy reliable ML systems into production.

This role is ideal for someone with strong classical machine learning fundamentals who is comfortable working with messy real-world sensor data and writing clean, production-grade code.

What You'll Do

• Build and optimize classical ML models such as XGBoost, ensemble models, anomaly detection, and time-series models for fall detection, vitals monitoring, and health risk scoring.
• Engineer features from raw, sparse, and noisy radar signals, point-cloud data, and time-series sensor streams.
• Contribute to computer vision-adjacent problems such as pose estimation, movement analysis, skeleton tracking, and activity recognition using radar data.
• Build training, evaluation, and inference pipelines using Databricks.
• Perform exploratory data analysis on resident, device, alert, and facility-level datasets to identify trends, edge cases, and opportunities for model improvement.
• Define and own model evaluation metrics for safety-critical systems, including:
• Precision
• Recall
• Sensitivity
• Specificity
• False alarm rate
• Missed event rate
• Detection latency
• Analyze production model performance across facilities, residents, devices, and time periods.
• Handle noisy real-world datasets, including:
• Missing values
• Label quality issues
• Device variability
• Sparse event data
• Facility-specific patterns
• Write clean, modular, well-tested Python code for feature engineering, model training, evaluation, and inference.
• Deploy, monitor, and continuously improve production ML models.
• Collaborate with hardware and data engineering teams to improve data quality, labeling, observability, and model reliability.

What We're Looking For

• 3–4 years of experience building and deploying machine learning systems in production.
• Strong Python programming skills with the ability to write maintainable, testable, production-grade code.
• Strong understanding of classical machine learning concepts, including:
• Feature engineering
• Model training
• Cross-validation
• Error analysis
• Model evaluation
• Hands-on experience with algorithms such as:
• XGBoost
• Random Forests
• Gradient Boosting
• Ensemble methods
• Anomaly Detection
• Time-series models
• Strong SQL skills with experience analyzing large datasets using SQL, PySpark, Pandas, or Databricks.
• Experience working with time-series, sensor, spatial, point-cloud, IoT, or computer vision-style datasets.
• Familiarity with modern data engineering workflows using Databricks, Apache Spark, Delta Lake, or similar platforms.
• Strong debugging and analytical skills with the ability to diagnose issues across data pipelines, models, and production systems.
• Comfortable working in a fast-moving startup environment with ambiguity.
• Strong ownership mindset with the ability to take ML models from experimentation through production deployment.

Good to Have

• Experience in HealthTech, IoT, radar sensing, wearables, ambient monitoring, or safety-critical systems.

Exposure to:

• Computer Vision
• Pose Estimation
• Skeleton Tracking
• Object Tracking
• Spatial Data Processing
• Experience with:
• MLflow
• Model Registry
• Feature Stores
• Experiment Tracking
• Model Monitoring
• Experience with:
• ONNX
• Model Quantization
• Edge Deployment
• Latency Optimization
• Resource-Constrained Inference
• Familiarity with real-time data pipelines using:
• Kafka
• Spark Structured Streaming
• Streaming inference architectures 

Only Immediate joiners are considered.

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

5 -10 years of professional software development experience.

 Experience in any backend tech like Java/Golang/Python/Nodejs/Ruby and Frontend Tech like Reactjs/Angular/Vuejs

with strong working knowledge of frontend/backend frameworks.

 Strong understanding of software architecture, design patterns, and principles

(e.g., SOLID, microservices, event-driven architectures)

 Experience with AI tools, frameworks, platforms, and their application in software delivery

 Experience with cloud platforms (especially AWS services), containerization and orchestration (Docker, Kubernetes)

 Hands-on experience with CI/CD pipelines and automated testing frameworks

 Familiarity with databases (SQL and NoSQL) and data modelling

 Fluency with XP practices: TDD, pair programming, continuous integration,

refactoring

 Working knowledge of security principles (secrets management, least privilege)

8–12 years of experience in Java application development.

Strong hands-on experience with Java, Spring, Spring Boot, and Hibernate/JPA.

Proficiency in SQL and relational databases (Oracle, SQL Server, PostgreSQL, or MySQL).

Experience in SQL query optimization, indexing, execution plan analysis, and database performance tuning.

Knowledge of REST APIs, Microservices, Maven/Gradle, Git, and JUnit.

Familiarity with CI/CD tools and Agile methodologies.

About Wissen Technology:

·         The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015.

·         Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains. We help clients build world class products.

·         Our workforce consists of 550+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like Wharton, MIT, IITs, IIMs, and NITs and with rich work experience in some of the biggest companies in the world.

·         Wissen Technology has grown its revenues by 400% in these five years without any external funding or investments.

·         Globally present with offices US, India, UK, Australia, Mexico, and Canada.

·         We offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.

·         Wissen Technology has been certified as a Great Place to Work®.

·         Wissen Technology has been voted as the Top 20 AI/ML vendor by CIO Insider in 2020.

·         Over the years, Wissen Group has successfully delivered $650 million worth of projects for more than 20 of the Fortune 500 companies.

·         The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.

We have served clients across sectors like Banking, Telecom, Healthcare, Manufacturing, and Energy. They include the likes of Morgan Stanley, MSCI, State Street Corporation, Flipkart, Swiggy, Trafigura, GE to name a few.

Job Overview

We are looking for an experienced QA Professional with 5–10 years of experience specializing in Pega Testing. In this role, you will design, execute, and manage testing strategies for complex, large-scale enterprise applications built on the Pegaplatform. You will ensure the seamless performance, integration, and functionality of workflows and case management systems.

Key Responsibilities

• Strategy & Planning: Define, design, and implement comprehensive test strategies, test plans, and test cases specifically tailored for Pega BPM applications.

• Functional & Rule Validation: Validate Pega rulesets, case management flows, data pages, routing logic, declarative expressions, and access groups.

• Automation Leadership: Design and maintain automated test frameworks for PegaUI and API layers using tools like Selenium, Cucumber, Tosca, or Pega Autotest.

• Defect & Defect Triaging: Track, analyze, and report defects using Jira, collaborating closely with Pega developers and Business Analysts to resolve complex issues.

• Regression & Integration Testing: Execute rigorous regression testing for Pegaplatform upgrades and test end-to-end integration with third-party APIs and databases.

• Mentorship & Quality Control: Lead a team of QA engineers, conduct test case reviews, and enforce industry-standard QA best practices.

Required Skills & Qualifications

• Pega Expertise: 4+ years of dedicated hands-on experience in testing Pega PRPC applications (Pega 8.x experience preferred).

• Certifications: Pega Certified Business Architect (PCBA), Certified System Architect (CSA), or Certified Pega QA is highly desirable.

• Testing Automation: Proven experience using automation tools (Selenium WebDriver, Tosca, Cucumber, or SoapUI/Postman for API testing) within a Pegaecosystem.

• Technical Proficiency: Strong understanding of SQL, XML, JSON, and Agile/Scrum methodologies.

• Analytical Skills: Exceptional ability to translate complex business requirements and user stories into structured test scenarios.

.Net developer responsible for building .NET applications using { Asp.net, c#, (sql or oracle), Css, jQuery, Xamarin and Xml }. Primary responsibility will be design and develop of web applications. A commitment to collaborative problem solving, sophisticated design, and quality product is essential.

Skills:

• Strong knowledge of .net web /windows application

• Proficient in Asp.net, c#, MVC, (sql or oracle), Css, jQuery, Xamarin , Xml, json

• Strong Understanding of Object-Oriented programming

• Proficient on Web Services and Web API

• Hands on experience on Microsoft Technologies

• Proficient understanding of code versioning tool 

JOB DESCRIPTION

Experience: 3-5 years

Wissen Technology is now hiring for a Senior Java Developer - Bangalore with hands-on experience in Core Java, algorithms, data structures, multithreading and SQL. We are solving complex technical problems in the industry and need talented software engineers to join our mission and be a part of a global software development team. A brilliant opportunity to become a part of a highly motivated and expert team which has made a mark as a high-end technical consulting. 

Required Skills:

• Exp. - 3-5 years
• Experience in Core Java and Spring Boot.
• Extensive experience in developing enterprise-scale applications and systems. Should possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client- facing applications.
• Good development experience with RDBMS.
• Good knowledge of multi-threading and high-performance server-side development.
• Basic working knowledge of Unix/Linux.
• Excellent problem solving and coding skills.
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts

Hiring for Lead Python Developer

Exp : 7+ yrs

Edu : BE/B.Tech

Work Location : Bengaluru / Gurugram Hybrid

Skills :

Strong expertise in Python programming. 

Experience with frameworks such as: Django Flask FastAPI 

Strong understanding of: REST APIs Microservices Architecture OOPs Concepts Design Patterns 

Experience with databases: PostgreSQL MySQL MongoDB Redis 

Hands-on experience with: Docker Kubernetes CI/CD Pipelines Git/GitHub/GitLab 

Cloud platform experience: AWS / Azure / GCP 

Knowledge of message brokers: Kafka / RabbitMQ 

Experience with unit testing and automation frameworks. 

Leadership Skills Strong team handling and mentoring experience. 

Ability to drive technical discussions and architecture decisions. 

Excellent stakeholder management and communication skills. 

Experience managing Agile/Scrum teams. 

Preferred Qualifications Bachelor’s/Master’s degree in Computer Science or related field.

 Experience in large-scale enterprise applications.

Exposure to AI/ML integrations is an added advantage. Certifications in cloud or Python technologies are preferred.

Job Title : Software Development Engineer in Test (SDET)

Experience : 2 to 5 Years

Location : Bangalore

Working Days : 5 Days/Week

Notice Period : Immediate to 15 Days

Interview Process : 1 Internal Round + 2 Client Rounds

Job Summary :

We are looking for a skilled Software Development Engineer in Test (SDET) with strong expertise in Java-based automation testing. The ideal candidate should have hands-on experience in automation frameworks, API testing, debugging, SQL, and cloud technologies while ensuring the delivery of high-quality software applications.

Mandatory Skills :

Java, Selenium, Appium, API Testing, SQL, AWS, Debugging, Cache Memory Concepts (Python is a Plus).

Key Responsibilities :

• Design, develop, and maintain automated test scripts using Java and Selenium/Appium.
• Perform API testing and validate backend services.
• Write and execute SQL queries for data validation and testing.
• Debug application issues and collaborate with development teams to resolve defects.
• Work with AWS environments for testing and deployment validation.
• Validate application performance involving cache memory mechanisms.
• Contribute to improving test automation frameworks and CI/CD processes.

Required Skills :

• Strong proficiency in Java (Mandatory).
• Hands-on experience with Selenium and Appium.
• Strong knowledge of API Testing.
• Good understanding of SQL.
• Experience with AWS.
• Excellent debugging and troubleshooting skills.
• Understanding of cache memory/caching concepts.
• Python knowledge is an added advantage.

Byteridge is seeking a Business Intelligence Solutions engineer to drive

transformative analytics and AI-powered insights for our strategic customers across India. You will lead

complex deployments of Amazon QuickSuite and related AWS analytics services, working directly with

customers to accelerate their data-driven transformation.

This role combines deep technical expertise in business intelligence, data integration, and AI automation to deliver production-ready solutions that unlock the full potential of customer data across multi-cloud environments.

What You'll Do

Solution Architecture & Deployment

• Lead end-to-end deployments of Amazon QuickSuite, QuickSight, and AWS analytics solutions forstrategic customers

• Design and implement comprehensive BI architectures that integrate with diverse data sourcesacross multi-cloud environments

• Develop custom connectors, APIs, and MCP (Model Context Protocol) integrations to extendplatform capabilities

• Configure and optimize Agents, Spaces, Topics, and Dashboards for customer-specific use cases

Technical Development & Integration

• Build custom connectors and integrations to connect QuickSuite with enterprise data sources

• Develop API-based solutions and automation workflows to streamline BI operations

• Implement data pipelines connecting multi-cloud data sources (AWS, Azure, GCP) to analyticsplatforms

• Create reusable templates, accelerators, and best practices for rapid deployment

Customer Engagement & Enablement

• Partner with customer teams to understand business requirements and translate them into

technical solutions

• Provide technical guidance on dashboard design, data modeling, and visualization best practices

• Train customer teams on QuickSuite capabilities, agent configuration, and self-service analytics

• Identify expansion opportunities and drive adoption of advanced analytics features

What We're Looking For

Core Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent practical

experience

• 4-6 years of experience in business intelligence, data analytics, or technical consulting roles

• Strong programming skills in Python, JavaScript, SQL, or similar languages

• Experience with BI platforms, data visualization, and analytics solution deployment

Technical Expertise (High-Level Alignment)

• Proficiency with business intelligence and data visualization tools (QuickSight, Tableau, Power BI, or

similar)

• Experience with API development, REST services, and integration patterns

• Understanding of data modeling, ETL/ELT processes, and data warehouse concepts

• Familiarity with AWS analytics services (QuickSight, Athena, Glue, Redshift) or equivalent platforms

Preferred Experience

• Hands-on experience with Amazon QuickSuite or similar AI-powered analytics platforms

• Knowledge of MCP (Model Context Protocol) and custom connector development

• Experience configuring AI agents, knowledge bases, and automated workflows

• Background working with multi-cloud data sources and hybrid architectures

• Understanding of data governance, security, and compliance requirements

Essential Attributes

• Excellent problem-solving skills with ability to navigate ambiguous requirements

• Strong communication skills to engage with technical and business stakeholders

• Ability to manage multiple customer engagements and prioritize effectively

• Customer-focused mindset with commitment to delivering measurable business outcomes

At Oracle Health, we’re building the future of healthcare

At Oracle Health, we’re building the future of healthcare—cloud-native healthcare solutions with AI at their core, designed to operate at nation-scale. Our mission is to transform how hospitals and physicians work, enabling better patient care while ensuring accurate, timely reimbursement.

We are modernizing Electronic Health Record and Clinical Analytics systems using LLMs and AI agents, helping clinicians focus more on patients and less on administrative burden.

We’re looking for highly skilled AI engineers to design and build high-scale, cloud-based data processing pipelines that ingest, transform, and analyze massive volumes of healthcare data with low latency, powering business insights and analytics across EHR and RCM systems.

You will leverage LLMs, AI agents, and modern data platforms to solve problems like clinical decision support, revenue optimization, and workflow automation while using AI-assisted development tools to accelerate delivery.

Responsibilities

Key Responsibilities

• Build and enhance data pipelines, ETL workflows, and transformations.
• Contribute to LLM/agent-based features and analytics use cases.
• Work with EHR/RCM datasets and support KPI/dashboard development.
• Learn and apply best practices in cloud, data engineering, and LLMOps.

Mandatory Qualifications

• BS/MS in Computer Science or equivalent.
• 4+ years of relevant software engineering experience.
• Strong software engineering skills in Python/Java.
• Strong knowledge of SQL.
• Deep expertise in data engineering: ETL, data transformation, data modelling (Spark, SQL), hands-on experience in BI.
• Experience building high-scale distributed data systems.
• Cloud experience (OCI/AWS/Azure).
• Experience with creating major new functionality in a software system all the way from design, through development and testing to production deployment.
• Experience with collaborating across multiple functional areas to develop components that are part of a larger system.
• Experience with LLMs, prompt engineering, and agent frameworks.
• Experience with blending hands-on coding with smart adoption of AI-driven solutions to rapidly prototype, test, iterate, and deliver reliable code.
• Experience using ChatGPT, Claude, or similar models on a routine basis to improve productivity.

Preferred Qualifications

• Experience with agentic architectures or GenAI platforms.
• Background in healthcare or digital health systems.
• Understanding of EHR systems and RCM workflows.
• Familiarity with healthcare coding standards (ICD/CPT).

About the Role

We are looking for a skilled SQL Server DBA with 4–5 years of experience in SQL Server database administration, performance tuning, and enterprise data integration. The ideal candidate should have hands-on experience working with Product Lifecycle Management (PLM) systems, ERP integrations, and data bridge solutions to enable seamless data exchange between enterprise applications.

Key Responsibilities

· Administer, monitor, and maintain Microsoft SQL Server databases to ensure high availability, security, and performance.

· Design, implement, and support PLM–ERP data bridge solutions for seamless integration between Product Lifecycle Management and ERP systems.

· Develop and optimize SQL queries, stored procedures, views, triggers, and database objects.

· Monitor database performance and perform query optimization, indexing, and troubleshooting.

· Design and implement database backup, recovery, disaster recovery, and high availability strategies.

· Build and maintain ETL processes and data synchronization workflows between PLM, ERP, and other enterprise applications. 

· Collaborate with application development teams to support database design and application deployments.

· Perform database migrations, upgrades, patching, and environment maintenance.

· Ensure database security, user management, and compliance with organizational standards.

· Create and maintain technical documentation, database architecture, and operational procedures. 

Required Skills & Experience

· 4–5 years of hands-on experience as a SQL Server DBA.

· Strong expertise in Microsoft SQL Server (2016/2019/2022 or later).

· Excellent knowledge of SQL, T-SQL, Stored Procedures, Functions, Triggers, Views, and Performance Tuning.

· Experience in database backup, restore, replication, indexing, and high availability (Always On, Log Shipping, Replication).

· Hands-on experience working with Product Lifecycle Management (PLM) systems.

· Experience implementing or supporting PLM–ERP data bridge/integration solutions.

· Knowledge of ERP systems such as SAP, Oracle E-Business Suite, Microsoft Dynamics, Infor, or similar platforms.

· Experience with ETL tools and enterprise data integration.

· Strong troubleshooting and root cause analysis skills. 

Preferred Skills

· Experience with Teamcenter, Windchill, Enovia, Arena PLM, or similar PLM platforms.

· Knowledge of SSIS, SSRS, and SSAS.

· Experience with PowerShell or Python scripting for database automation.

· Exposure to Azure SQL Database or cloud-based SQL environments. 

· Understanding of manufacturing, engineering, or product development processes.

· Familiarity with CI/CD and DevOps practices. 

Educational Qualification

· Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.

Key Competencies

· Strong analytical and problem-solving skills.

· Excellent communication and stakeholder management abilities.

· Ability to work independently in a remote environment.

· Strong attention to detail and commitment to database reliability and performance.

· Ability to manage multiple priorities in a fast-paced environment.

Key Responsibilities

• Report Generation & Maintenance: Design, develop, and maintain daily, weekly, and monthly MIS reports and dashboards to track key business metrics.
• Data Automation: Streamline data collection and reporting processes using advanced Excel functions, VBA/Macros, and Power Query to minimize manual effort and human error.
• Data Quality Assurance: Validate, clean, and reconcile large datasets from multiple sources to ensure 100% accuracy and consistency.
• Ad-Hoc Analysis: Respond quickly to high-priority, customized data requests from management and cross-functional teams.
• Trend Analysis: Identify data trends, anomalies, and insights to help management make informed strategic decisions.

Required Skills & Qualifications

Technical Expertise:

• Advanced Excel (Must-Have): Expert-level knowledge of VLOOKUP/XLOOKUP, INDEX/MATCH, Pivot Tables, Power Query, Data Validation, Conditional Formatting, and Array Formulas.
• VBA & Automation: Proficient in writing and debugging VBA macros to automate repetitive tasks.
• Data Visualization: Ability to build clean, intuitive charts, graphs, and dynamic dashboards that tell a story.
• Bonus Skills: Familiarity with SQL, Power BI, or Tableau is a strong plus.

Professional Skills:

• Experience: 2–5 years of experience in an MIS, Data Analyst, or Reporting role.
• Analytical Thinking: Strong problem-solving skills with a knack for spotting patterns and discrepancies in massive datasets.
• Attention to Detail: High precision in data handling; a missing comma or broken formula shouldn't get past you.
• Communication: Ability to translate complex data into clear, concise summaries for non-technical stakeholders.

We are seeking a talented Senior Power BI Engineer to join our team and deliver high-quality business intelligence solutions for our clients.

Technical Skills:

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)
• Looking out for only immediate joiners

Responsibilities:

• Design, develop, and deploy interactive Power BI dashboards and reports for client projects
• Build and optimize data models using star schema and snowflake schema design patterns
• Develop complex DAX measures and calculated columns to support business requirements
• Connect to and integrate data from multiple sources including SQL databases, Excel, APIs, cloud platforms, and data warehouses
• Implement data transformation and cleansing using Power Query (M language)
• Collaborate with clients and stakeholders to gather requirements and translate business needs into technical specifications
• Optimize report performance through query optimization, aggregations, and efficient data modeling
• Configure and manage Power BI Service including workspaces, datasets, dataflows, and row-level security (RLS)
• Create and maintain documentation for data models, reports, and development processes
• Provide training and support to end-users on Power BI reports and dashboards
• Design and implement custom visualizations using Power BI custom visuals and third-party visual libraries.
• Implement conditional formatting, dynamic titles, and dynamic content based on user selections
• Stay current with Power BI updates, new features, and industry best practices

About Ritually

Ritually is building the definitive process discovery platform for back office work. Our product fuses underutilized system telemetry with computer vision to help large enterprise and scaling mid-market companies deeply understand and reimagine their highest value and most repetitive processes for a world where humans and agents work together. We're based in New York and Denver.

We believe deeply in trust (of our customers and each other), craft, customer obsession, and speed.

You'll be joining an AI-native, fast-moving, and repeat founding team. Ritually's founders previously built and exited a startup (Involvio) to Cisco. The company is funded and working with design partners.

The Role

This is a founding applied-AI role. You'll be building our core data pipeline and intelligence layer with the founding team from 0-1 You'll be tackling our largest technical challenges across technologies.

What You'll Do

• Design and build data pipelines that capture and turn high volumes of system activity into structured, queryable data.
• Turn raw activity streams into processes: sessionize event logs, cluster recurring sequences, and use LLMs to label and summarize what's happening.
• Build the evaluation backbone from scratch: stand up synthetic data generation pipelines that produce labeled scenarios to measure accuracy and catch regressions.
• Own data quality and privacy.
• Partner closely with the founders and the rest of engineering to ship features end to end.

What We're Looking For

• 1-4 years of experience in data engineering, AI/ML engineering, or backend work with a data focus (some of this can be project or research experience).
• Strong in Python and/or TypeScript, comfortable in SQL, and able to build data pipelines you can trust.
• Hands-on experience working with LLMs structured output, prompting, and wrangling non-determinism while keeping behavior reliable.
• A practical sense for evaluation: you know that "it looks right" isn't the same as "it's measurably right."
• Care about data privacy and handling sensitive information responsibly.
• Comfort with ambiguity and a real appetite to own a hard, open-ended problem.

Nice to Have

• Background in process mining, sequence / event-log analysis, or workflow analytics.
• Deeper PostgreSQL: window functions, partitioning, pg_cron, query performance.
• Embeddings and vector search (pgvector) or semantic retrieval.
• Familiarity with cloud infrastructure.
• Any prior early-stage startup experience.
• Degree in computer science or a related field.

Senior Data Scientist (ML) – 5+ Years

Required Skills:

• 5+ years of experience in Data Science/ML
• Strong knowledge of Probability & Statistics
• Strong educational background in Statistics or Mathematics (degree/course specialization). 
• Good understanding of core Machine Learning algorithms
• Proficiency in Python, PySpark, and SQL
• Experience with Databricks, Azure ML, SageMaker, or Vertex AI
• Hands-on experience in Natural Language Processing (NLP)
• Understanding of Transformer-based models and architectures
• Ability to build, deploy, and optimize ML solutions at scale

Automation SDET (Java + Selenium)

Experience

5 – 12 Years

Location

Bangalore | Chennai | Pune | Hyderabad | Gurgaon | Trivandrum | Bhubaneswar | Kolkata

About the Role

We are looking for a highly skilled Automation SDET with strong expertise in Java-based test automation. This role is ideal for professionals who enjoy owning automation strategy, designing robust test frameworks, and mentoring team members while remaining hands-on.

You will work closely with development, product, and DevOps teams to ensure high-quality software delivery in an Agile environment.

Key Responsibilities

• Design, develop, and maintain automation frameworks using Java and Selenium
• Perform API automation testing using Rest Assured
• Create and execute automated and manual test cases, test scripts, and test plans
• Prepare and maintain Traceability Matrix (RTM) and test documentation
• Apply BDD frameworks (Cucumber or similar) for automation scenarios
• Execute database validations using SQL queries
• Lead and mentor a medium-sized QA team while remaining hands-on
• Contribute to automation strategy, test design techniques, and best practices
• Participate actively in Agile ceremonies and collaborate across onsite–offshore teams
• Track defects and test execution using tools like ALM and JIRA
• 
  

Must-Have Skills

• 5+ years of experience in Automation Testing / SDET roles
• Strong hands-on expertise in Java and Selenium
• In-depth understanding of Core Java concepts:
• 
  
• OOP principles
• Collections Framework
• Exception Handling
• 
  
• Hands-on experience with API automation (Rest Assured)
• Strong SQL skills for backend data validation
• Experience working with BDD frameworks (Cucumber, etc.)
• Solid understanding of software QA methodologies, tools, and processes
• 
  

Leadership & Collaboration Skills

• Ability to work independently and take ownership of deliverables
• Experience leading and mentoring a QA team
• Comfortable working in an onsite–offshore delivery model
• Strong communication and stakeholder management skills
• 
  

Good to Have

• Experience with CI/CD tools (Jenkins, Git, Maven/Gradle)
• Exposure to cloud-based testing or microservices architectures
• Domain experience in BFSI, Telecom, or Retail (preferred but not mandatory)

Job Title : Data Engineer – Databricks

Experience : 6+ Years

Location : Noida / Hyderabad / Chennai / Pune / Bengaluru (Hybrid)

Shift : IST (Normal Shift)

Job Summary :

We are seeking an experienced Data Engineer with strong expertise in Databricks, Snowflake, Python, and Spark to build and optimize scalable data pipelines and support AI/ML model deployments. The ideal candidate should have experience working with cloud-based data platforms and preferably possess exposure to the Healthcare domain.

Required Skills :

• Databricks (Preferred)
• Snowflake
• Python
• Apache Spark
• SQL
• Azure Cloud
• Kubernetes
• Apache Airflow
• GitHub & CI/CD Pipelines
• AI/ML Model Deployment
• Data Analytics

Preferred :

• Experience in the Healthcare domain.
• Strong understanding of scalable data engineering architectures and best practices.

Are you passionate about creating impactful tech products for Bharat? Join us on an exciting journey to build a multi-million-dollar revenue products from scratch for Bharat.

Open Position: 3 Product Manager / Product Owners. Basically people who can take whole product (consumer app, B2C, i hope you research enough to figure the apps out) from me and scale it end to end.

What we’re looking for:

 • Strong first-principles thinking and user empathy

 • Eagerness to learn quickly

 • Strong in communication

 • AI-first mindset - non negotiable after this december update :)

 • Experience matters less than your enthusiasm to learn and contribute

Why join us?

 •⁠ ⁠Work on solving real problems for Bharat users on scale (5M+ app downloads and growing fast)

 •⁠ ⁠Competitive salary. No bar for the right talent!

 •⁠ ⁠Be part of an ambitious, visionary team

 •⁠ ⁠High ownership, high impact from Day 1

Why NOT to join us? - more important than why join us

 •⁠ ⁠You are someone who need established systems rather than building them, lets meet after 2 years(maybe!)

 •⁠ You think idea to feature cycle should be more than 1 day

 •⁠ You think you know everything.

 •⁠ Looking for work life balance - not the place. You deserve better place.

 •⁠ Ambiguity paralyses you.

Location: Bangalore (Onsite)

Contract: 6 months, with potential extension based on project needs and performance

Location: Bengaluru or Chennai, India

Work Mode: Hybrid from Infosys office from day one

Role Summary:

We are seeking a Senior Dynamics 365 CRM Developer / Technical Lead to design, build, integrate, and support Microsoft Dynamics 365 Customer Engagement solutions. The role includes hands-on development, technical leadership, support issue resolution, and mentoring junior developers in an Agile delivery environment.

Click to apply: https://forms.gle/iDRf1PaDyReoxisCA

Key Responsibilities:

- Develop and customize Microsoft Dynamics 365 CE Online solutions across Sales, Service, and Marketing modules.

- Build and maintain plugins, workflows, business process flows, Power Automate flows, and Dataverse customizations.

- Develop integrations using Azure Functions, Web API, REST APIs, JavaScript, C#/.NET, and SQL.

- Configure Dataverse security roles, data models, forms, views, business rules, and solution components.

- Use Azure DevOps for work tracking, source control, build/release processes, and delivery coordination.

- Troubleshoot CRM support issues, coordinate timely closure, and identify recurring problems for long-term fixes or cost optimization.

- Review code, guide junior developers, and ensure solutions follow agreed architecture, quality, and security standards.

- Participate in Agile/Scrum ceremonies, estimation, sprint planning, and delivery reporting.

Required Skills and Experience:

- 6+ years of hands-on experience, or equivalent practical expertise, in Microsoft Dynamics CRM / Dynamics 365 CE development.

- Strong experience with Dynamics 365 CE Online, Dataverse, plugins, workflows, Power Automate, C#/.NET, SQL, Web API, REST APIs, and Azure Functions.

- Experience with JavaScript-based CRM customizations and CRUD operations through Web API calls.

Key Skills:

Technical Skills

• Power BI Development: 4-5 years of hands-on experience developing Power BI reports, dashboards, and data models
• DAX: Strong proficiency in DAX (Data Analysis Expressions) for creating measures, calculated columns, and complex calculations
• Power Query / M Language: Expertise in data transformation and ETL processes using Power Query
• Data Modeling: Solid understanding of dimensional modeling, star schema, and data warehouse concepts
• SQL: Proficient in SQL for data extraction, manipulation, and querying relational databases
• Power BI Service: Experience with Power BI Service administration, workspace management, scheduled refreshes, and deployment pipelines
• Custom Visualizations: Experience creating and configuring custom visuals, including use of AppSource visuals and custom visual development using Power BI Visuals SDK
• API Integration: Hands-on experience with Power BI REST APIs for automating deployments, managing workspaces, and embedding reports
• Knowledge of data visualization best practices and UI/UX principles for dashboard design
• Experience with data source connectivity (SQL Server, Azure SQL, Oracle, SAP, Excel, APIs, web services)

Additional Required Qualifications

• Bachelor’s degree in computer science, Information Systems, Business Analytics, or related field
• Strong analytical and problem-solving abilities
• Excellent communication skills to work with both technical and non-technical stakeholders
• Ability to manage multiple projects and prioritize tasks effectively
• Detail-oriented with commitment to delivering high-quality work
• Client-facing experience with ability to gather requirements and present solutions

Preferred Qualifications

• Microsoft Power BI certification (PL-300 or equivalent)
• Experience with Azure ecosystem (Azure Data Factory, Azure Synapse Analytics, Azure SQL Database)
• Knowledge of other Microsoft BI tools (SSRS, SSAS, Excel Power Pivot)
• Familiarity with Python or R for advanced analytics integration
• Experience with Dataflows and incremental refresh strategies
• Understanding of API development for custom visuals or Power BI embedded solutions
• Experience working in Agile/Scrum development environments

Experience

9–18 Years

Education

IIT / NIT graduates only

Interview Process

Candidates must be available for a Face-to-Face interview in Bangalore or Mumbai.

Key Responsibilities

• Design and develop scalable, high-performance Java applications.
• Lead a team of engineers and drive technical excellence.
• Architect enterprise-grade solutions and provide technical guidance.
• Collaborate with cross-functional teams to define, design, and deliver high-quality software.
• Review code, mentor team members, and ensure engineering best practices.
• Drive system design discussions and resolve complex technical challenges.

Required Skills

• Strong expertise in Core Java and Java ecosystem.
• Excellent problem-solving and analytical skills.
• Very strong coding ability with clean coding practices.
• Strong understanding of System Design and distributed systems.
• Hands-on experience in Java Architecture and designing scalable applications.
• Experience leading engineering teams and mentoring developers.
• Good understanding of software design principles, design patterns, and performance optimization.
• Strong communication and stakeholder management skills.

Preferred Skills

• Experience with Spring Boot, Microservices, REST APIs, and cloud technologies.
• Exposure to CI/CD, containerization, and modern DevOps practices is an advantage.

Job Responsibilities

The Software Engineer EIS Developer develops EIS and Java code for intermediate modules, participates in design reviews, conducts code reviews, creates test plans and resolves moderate defects.  The Developer designs, documents, reviews, and maintains components of software solutions for intermediate projects.  It also includes reacting to production problems or supporting production changes where those applications are operating.

• Strong understanding of EIS (V12 or V20) and Core Java concepts
• 5-7 year of experience
• Knowledge of the Insurance business is a plus
• Highly motivated with good written and oral communication skills.
• Ability to lead conversations and coordinate activities across various time zones.
• Flexibility to adapt to changing priorities and assignments, ability to work well under pressure, as well as ability to work independently.
• Ability to be accountable for key processes of high complexity, high risk, and high visibility.
• Ability to learn new skills quickly and willingness to challenge yourself
• Advanced SQL skills (individuals need to have solid SQL debugging and tuning skills)
• Advanced Oracle Knowledge
• Intermediate UNIX

Primary Skills

• EIS V12 or V20
• Product Factory (V12)
• Kraken Rules (V20)
• Java & React
• OOPS
• Java SpringBoot
• SOAP/REST/JSON
• TDD(Unit/Integration/Acceptance)
• Code Refactoring
• GIT 
• Coding standards
• Build Process
• Security (Web security/API Security)
• HTML/CSS
• Cloud Infrastructure
• Jenkins/Gradle
• Strong communication skills
• Strong analytical ability

Experience

• Overall experience of 5 -7 years of software development
• At least 3 years of experience as a Java and React development
• At least 1 year as a full stack developer with Cloud/PCF experience
• Wide experience with a diverse set of technologies, approaches, tools, etc. would be ideal.
• Good knowledge of Java programming, SQL, Unix
• Exposure and knowledge to Agile methodologies
• Experience in Java development and web front-end development.
• Experience deploying to cloud environments a plus
• Exposure to test-driven development
• Strong communication skills
• Passion for growing your skills, tackling interesting work and solving challenging problems
• Enthusiasm for community, learning, and collaboration
• Excitement about open source software

Shift Timing

·        13:00 - 21:30 PM for overlap with onsite business partner

Experience: 2+ Years

Mandatory Skills: Data Analysis, Data Mining, Data Validation, Python, SQL, Power BI, Advanced Excel

Data Analyst

We are looking for 1 Developer/Analyst to support data analysis, data mapping, and report automation initiatives. This is an entry-level role with structured training, ideal for candidates who are detail-oriented, proactive, and capable of working independently in a fast-paced environment.

Key Responsibilities

• Perform data analysis and data validation across various datasets.
• Execute data mapping activities between source and target systems.
• Support report automation and templating tasks (training will be provided).
• Participate in User Acceptance Testing (UAT) to validate report outputs and workflows.
• Manage multiple report automation tasks simultaneously with strong attention to timelines.
• Proactively provide status updates, identify risks, and escalate blockers in a timely manner.
• Ensure high-quality delivery without requiring follow-ups or supervision.
• Collaborate closely with the client team (onshore/offshore alignment as applicable).

Key Skills & Qualifications

• Bachelor’s degree in Engineering, Computer Science, IT, or a related field.
• Strong analytical and problem-solving skills.
• Basic understanding of data handling, Excel, and reporting concepts.
• Ability to manage multiple tasks and meet committed deadlines.
• Strong communication skills (verbal and written).
• High level of ownership, accountability, and self-driven execution.

Preferred Skills (Good to Have)

• Exposure to Seismic and/or SmartDX platforms.
• Familiarity with reporting tools, data transformation, or automation concepts.
• Prior internship/project experience in data analysis or reporting.

Job Description: 

Job Title: QA/Test Management Engineer

Location: Bangalore & Mumbai

Experience Level: 2-8 Years

Notice period: Immediate to serving notice period up to 45 days

You will:

. Part of a Global test management team working in the Regulatory reporting domain.

. Collaborate with a wide range of colleagues all over the technology and business domain.

Have a good knowledge about testing concepts- including but not limited to understanding

business requirement, defining test scope, ability to collaborate with business/automation

stakeholders and executing tests, bug/defect tracking and closure.

. Demonstrate a high level of subject matter expertise to bridge functional requirements and technical solution.

. Strong working knowledge of various test types including white-box, black-box,

positive/negative, edge cases, etc.

. Solid test design skills, test case writing, automation, and analysis.

. Strong working knowledge of various test phases including functional, integration and

Regression.

. Strong working experience in running the test suite, investigating the failures and can fix or get it fixed, raise bugs, etc.

. Work closely with Dev and Business Analyst team to understand the functional requirements.

. Actively participate in squad ceremonies Sprint Refinements, Planning, Retrospective and

daily standups.

. Ability to learn new things and exhibit innovative testing approach.

. Strong ability and problem-solving Skills.

You must have:

. Ability to test applications thoroughly before deployment to ensure that they are free of

errors.

. 2-8 years 'experience in test automation or feature development (programming experience)

. Should be able to work with geographically dispersed Dev & QA team in a very dynamic,

rapidly evolving, and high pressure, high visibility project setting.

. Experience of working in a fast-paced Agile framework.

. Ability to challenge status quo and think of out-of-the box solutions to existing problems.

. Excellent problem-solving skills.

. Knowledge of trade lifecycle. product types/asset class types.

. Willingness to guide fellow team members in learning new technologies.

You might also have:

. Understanding of DevOps for complex systems

. Knowledge of Transaction Reporting, OTC Derivatives, Post Trade processing activities.

. Experience with continuous deployment tools and practices

. Experience with automation tools such as Python/PowerBI

About the Role

We are looking for a Senior Software Engineer (Node.js) to join our engineering team in Bengaluru. The ideal candidate will have strong experience building scalable backend applications, designing APIs, and working with modern software development practices.

Responsibilities

• Develop and maintain server-side applications using Node.js.
• Design and implement RESTful APIs.
• Integrate front-end components with backend services.
• Write clean, scalable, and maintainable code.
• Troubleshoot and resolve application issues.
• Optimize application performance, scalability, and reliability.
• Collaborate with cross-functional teams to deliver high-quality solutions.
• Participate in code reviews and follow software development best practices.

Requirements

• 3-6 years of experience in software development.
• Strong proficiency in JavaScript and Node.js.
• Experience with RESTful API development.
• Knowledge of SQL and/or NoSQL databases.
• Experience with Git and collaborative development workflows.
• Good problem-solving and communication skills.
• Bachelor's degree in Computer Science or related field.

Good to Have

• Docker
• Kubernetes
• Cloud Platforms
• Microservices Architecture
• Express.js
• MongoDB
• Docker
• Kubernetes
• Backend Development

Most product manager roles optimise screens.

This one optimises what happens on the ground.

We’re hiring a Product Manager to own a core product area end to end — from strategy and roadmap to execution and outcomes.

You’ll build software that improves real-world execution quality: whether a booked job gets fulfilled, starts and ends on time, meets standards, and happens at the right cost.

If you like building at the intersection of product, ops, and field reality — this is that role.

→ Own the vision, strategy, and roadmap for a core product area

→ Tie product decisions to business metrics like fulfilment, timeliness, variance, rework, and cost

→ Work closely with Supply, Demand, and City Ops to turn messy ground problems into scalable systems

→ Lead a pod of engineers and designers, make trade-offs, and ship continuously

→ Build dashboards, escalation systems, exception management, and software-driven SOPs

→ Spend time in the field with farmers, supervisors, and mukadams to make better product decisions

• 2–7 years in product with ownership of a meaningful product area

• Strong track record of taking products from problem to launch to measurable impact

• Systems thinker who can balance supply, demand, operations, and economics

• Comfortable with data, dashboards, and SQL/Sheets

• Strong stakeholder management across cross-functional teams

• High respect for on-ground reality in field-heavy environments

Bonus if you bring experience in rural India, agriculture, informal labour markets, new city launches, or 0→1 builds.

📍 Bangalore (on-site; regular field travel expected) | Reporting to CPO

Know someone who’d thrive in a role where product decisions show up in the real world, not just on a dashboard?

Tag them below or DM if this sounds like you.

#Hiring #ProductManager #ProductJobs #BangaloreJobs #OperationsTech #BuildInIndia

If you want to learn product by building in the real world—not just from slides and dashboards—this is that role.

We’re hiring an Associate Product Manager to turn messy ground reality into product that actually gets used.

→ Own features and product areas end to end, from problem definition to launch to iteration

→ Spend time with users in the field and turn observations into clear product requirements

→ Work day-to-day with engineering and design to ship

→ Use data across fulfilment, on-time start/completion, rework, and complaints to figure out what to build next

→ Run launches, coordinate rollouts, train teams when needed, and track adoption

→ Ship, measure, learn, iterate

• 0–2 years of experience in product, consulting, ops, analytics, engineering—or a strong builder mindset

• Sharp structured thinking and real curiosity about why people behave the way they do

• Comfortable with data and spreadsheets

• Strong written and verbal communication

• High agency—you chase answers and don’t wait to be told what to do

• Comfortable with ambiguity and fast-moving environments

Bonus if you:

• Speak Marathi/Hindi

• Have exposure to rural India, agriculture, blue-collar operations, or informal labour markets

• Have built or shipped something real

Why this role?

A real, hard, physical-world product problem. Close mentorship from senior product leadership. The kind of ownership most people wait years to get.

📍 Bangalore (on-site; expect periodic field travel) | Reporting to CPO

Know someone who should be in this seat? Tag them below or DM directly.

#Hiring #AssociateProductManager #ProductManagement #BangaloreJobs #APM #ProductJobs

Location: Bangalore (Hybrid/Onsite)

Experience: 5–8 Years

Work location -Manyata Tech park

Job Description

We are seeking a skilled GCP Data Engineer with 5–8 years of experience in designing, developing, and maintaining scalable data pipelines and cloud-based data solutions. The ideal candidate should have strong expertise in Google Cloud Platform (GCP), Python, PySpark, SQL, and Data Engineering concepts.

Key Responsibilities

• Design, build, and optimize scalable ETL/ELT data pipelines.
• Develop and maintain data processing solutions using Python and PySpark.
• Work with large-scale structured and unstructured datasets.
• Implement data ingestion, transformation, and data quality frameworks.
• Build and manage data solutions on Google Cloud Platform (GCP).
• Develop and optimize complex SQL queries, stored procedures, and data models.
• Collaborate with business stakeholders, data analysts, and cross-functional teams to understand data requirements.
• Monitor, troubleshoot, and improve data pipeline performance and reliability.
• Ensure data governance, security, and compliance standards are followed.
• Support data warehousing and analytics initiatives.

Required Skills

• 5–8 years of experience in Data Engineering.
• Strong programming experience in Python.
• Hands-on experience with PySpark and distributed data processing.
• Strong expertise in SQL and database performance tuning.
• Experience with Google Cloud Platform (GCP) services such as:
• BigQuery
• Cloud Storage
• Dataflow
• Dataproc
• Cloud Composer
• Pub/Sub
• Experience in designing ETL/ELT workflows.
• Knowledge of data warehousing concepts and dimensional modeling.
• Experience with version control tools such as Git.
• Strong problem-solving and analytical skills.

Preferred Skills

• Experience with CI/CD pipelines and DevOps practices.
• Exposure to orchestration tools like Airflow/Cloud Composer.
• Experience working in Agile/Scrum environments.
• Knowledge of streaming data processing and real-time data pipelines.

Educational Qualification

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.

Position: Team Lead – Data Engineering

Client: NucleusTeq

We are looking for an experienced Team Lead / Architect – Data Engineer to design, architect, and lead scalable cloud-based data platforms.

Key Responsibilities:

·     Design and architect scalable, high-performance data solutions.

·     Lead and mentor a team of data engineers.

·     Build and optimize large-scale data pipelines.

·     Drive architectural decisions and technical strategy.

·     Ensure data quality, governance, and security best practices.

·     Collaborate with cross-functional teams for end-to-end delivery.

Required Skills:

·     Strong hands-on experience in Java & Python.

·     Strong expertise in SQL and Big Data technologies.

·     Hands-on experience with Google Cloud Platform (GCP).

·     Experience with Apache Airflow for workflow orchestration.

·     Strong understanding of distributed systems and data architecture.

·     Experience in CI/CD pipelines (mandatory).

·     Experience in data warehousing and ETL processes.

·     Excellent leadership and stakeholder management skills.

Good to Have:

·     Experience with Dataflow (Apache Beam).

·     Experience designing enterprise-level data platforms.

·     Exposure to DevOps best practices.

Job Title : Analytics Engineer

Experience : 6+ Years

Location : Gurgaon | Bangalore | Ahmedabad | Chennai

Work Mode : Work From Office

Employment Type : Contract (6 Months)

About the Role :

We are looking for an experienced Analytics Engineer to design, develop, and optimize scalable data models and analytics solutions that drive business decision-making. The ideal candidate should have strong expertise in SQL, dbt, data modeling, data quality, and modern analytics engineering practices.

Mandatory Skills :

SQL, dbt, Data Modeling, Data Warehousing, ETL/ELT, Query Optimization, Data Quality, Git, CI/CD, Analytics Engineering, Data Transformation, Data Governance, Stakeholder Management.

Key Responsibilities :

• Design and maintain scalable data warehouse models, data marts, and analytical datasets.
• Build and optimize data transformation pipelines using SQL and dbt.
• Develop high-performance SQL queries using CTEs, Window Functions, Complex Joins, and Analytical Functions.
• Implement data quality checks, testing frameworks, and governance best practices.
• Manage end-to-end analytics development lifecycle, from requirement gathering to deployment.
• Work with Git, CI/CD pipelines, and version control best practices.
• Collaborate with business and technical stakeholders to deliver reliable analytics solutions.
• Troubleshoot and optimize data pipelines, models, and query performance.

Required Skills :

• 6+ years of experience in Analytics Engineering, Data Engineering, or related roles.
• Strong expertise in SQL and query performance optimization.
• Hands-on experience with dbt (Data Build Tool).
• Strong understanding of data modeling and data warehousing concepts.
• Experience with Git, CI/CD, and software development best practices.
• Knowledge of data quality frameworks, testing, and validation techniques.
• Ability to independently manage design, development, testing, documentation, and deployment.

Preferred Skills :

• Experience with cloud-based data platforms.
• Exposure to orchestration and scheduling tools.
• Understanding of data governance and compliance frameworks.
• Experience in performance tuning and cost optimization.
• Prior mentoring or technical leadership experience.

What We're Looking For :

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work independently in a fast-paced environment.
• Passion for building scalable, reliable, and high-quality analytics solutions.

Job Title: Senior Product Software Engineer I

Location: Bangalore, India

.

Software Engineer (Backend / Distributed Systems)

This role is for a hands-on Backend Software Engineer with 5+ years of experience building and maintaining large-scale distributed systems. The candidate will be responsible for developing scalable backend services, optimizing system performance, improving reliability, and contributing to architecture decisions.

Key Responsibilities

• Design, develop, and maintain backend services and APIs.
• Build scalable and reliable distributed systems.
• Collaborate with global engineering teams (US & India).
• Participate in system design, code reviews, testing, and CI/CD processes.
• Monitor production systems and provide support through on-call rotations.
• Improve system performance, fault tolerance, observability, and resiliency.
• Contribute to architectural discussions and technical decision-making.

Mandatory Skills

• 5+ years of software development experience.
• Strong coding skills in Java or Python.
• Experience with Distributed Systems and Microservices Architecture.
• Hands-on experience with REST APIs and API-driven applications.
• Strong knowledge of MySQL or PostgreSQL.
• Experience with CI/CD, testing, and code quality practices.

Preferred Skills

• Spring Boot (for Java developers).
• Kafka, Kinesis, or other event-driven/streaming technologies.
• Docker and Kubernetes.
• Terraform or Infrastructure as Code tools.
• Cloud platform experience (AWS/GCP/Azure).
• High-throughput and low-latency system experienc

Hiring: GCP Data Engineer (FTE)

📍 Location: Bangalore | Chennai | Pune | Gurgaon | Kolkata

💼 Employment Type: Full-Time

Notice Period - Immediate Joiner ( Serving Notice Period )

Work Mode - Hybrid

We are looking for experienced GCP Data Engineers with strong expertise in building scalable cloud data solutions.

Required Skills:

✔ GCP Data Engineering Experience

✔ BigQuery

✔ SQL & Python

✔ PySpark / Apache Spark

✔ Apache Beam / Dataflow

✔ ETL / ELT Pipeline Development

✔ Airflow / Cloud Composer

Responsibilities:

• Design and develop scalable ETL/ELT pipelines on GCP
• Build and optimize BigQuery solutions
• Process large-scale structured/unstructured data using Spark
• Develop automated workflows and cloud-native data pipelines
• Work with GCP services like Dataflow, Dataproc, Cloud Storage, etc.
• 
  

Good to Have:

• Google Cloud Certifications (Professional Data Engineer / Solution Architect)
• Experience with BigTable, Cloud SQL, Spanner, NoSQL databases

🎓 Qualification: Bachelor’s / Master’s in CS, Engineering, or related field

Job Title : Generalist Fullstack Engineer (Java / Node.js / React / AI-Driven Engineering)

Experience : 5 to 12 Years

Location : Bengaluru (Koramangala) – Hybrid (3 Days WFO)

Employment Model : C2H

Joining : Immediate to 20 Days Notice Only

Open Positions : 4

About the Role :

We are hiring a hands-on Generalist Fullstack Engineer for a high-impact engineering team. This is a 90% coding role focused on building scalable products across frontend, backend, cloud, and modern AI-enabled engineering practices.

Mandatory Skills :

Full Stack Development (Frontend + Backend), JavaScript / Java / Node.js / Python / Go, ReactJS or modern UI frameworks, Microservices, AWS, Docker, Kubernetes, SQL/NoSQL, CI/CD, Terraform (IaC), Automated Testing (TDD), AI-enabled software delivery, and strong hands-on coding experience.

Key Requirements :

• 5 to 12 years of software development experience.
• Strong expertise in JavaScript, Java, Node.js, Python, or Go.
• Hands-on experience with ReactJS / modern frontend frameworks.
• Strong backend depth with microservices & event-driven architecture.
• Experience with AWS, Docker, Kubernetes.
• Exposure to AI tools/frameworks in software delivery.
• Strong understanding of SQL/NoSQL databases & data modelling.
• Experience with CI/CD, automated testing, Terraform (IaC).
• Working knowledge of TDD, pair programming, continuous integration, security best practices.

Roles & Responsibilities :

• Develop and own production-grade full-stack applications.
• Build AI-first engineering workflows to improve delivery efficiency.
• Drive architecture decisions and engineering best practices.
• Deliver scalable cloud-native solutions.
• Collaborate across product, QA, design, and architecture teams.
• Improve system reliability through monitoring, automation, and testing.

Ideal Candidate :

✔ Strong end-to-end ownership (Frontend + Backend).

✔ Deep hands-on coding mindset (not people-management focused).

✔ Strong AWS + SQL exposure.

✔ Experience building and managing UI state and frontend components.

✔ Stable career progression (avoid frequent job changes).

Interview Process :

1. Technical Round – GT (Assemble)
2. Technical Round – Client
3. Technical Round – Client
4. HR Discussion & Offer

Job Title: Senior Tableau Developer

Location: Marathahalli, Bangalore (Onsite)

Job Type: Full-time

Key Responsibilities:

·       Develop dashboards and reports using Power BI.

·       Work with Azure Synapse, Data Factory, and Azure SQL for data integration.

·       Build and optimize data models and DAX queries.

·       Collaborate with stakeholders to gather and analyze reporting needs

·       Ensure performance, security, and scalability of visual solutions

·       Strong experience in Tableau

Required Skills:

·       Power BI, DAX, Azure Synapse, ADF, SQL, Data Modeling, Data Storytelling

·       Tableau (Dashboard Development, Data Visualization, Calculated Fields,

·       LOD Expressions)

·       Microsoft Fabric 

Job Title: Lead Tableau Consultant

Location: Marathahalli, Bangalore (Onsite)

Job Type: Full-time

Key Responsibilities:

·   Develop dashboards and reports using Power BI.

·   Work with Azure Synapse, Data Factory, and Azure SQL for data integration.

·   Build and optimize data models and DAX queries.

·   Collaborate with stakeholders to gather and analyze reporting needs

·   Ensure performance, security, and scalability of visual solutions

·   Strong experience in Tableau

Required Skills:

·   Power BI, DAX, Azure Synapse, ADF, SQL, Data Modeling, Data Storytelling

·   Tableau (Dashboard Development, Data Visualization, Calculated Fields,

·   LOD Expressions)

·   Microsoft Fabric (preferred)

About Us: Website: https://www.tundratechnical.ca/ & https://tundramanagedsolutions.com/

Experience: 5-8 years

Shift: EST

Location: Bangalore

Mode: Hybrid

Position Requirements

Core (Must-Have) Skills

• Proficiency in Python with advanced use of NumPy, Pandas, and Scikit-learn

• Expertise in SQL, including complex queries and performance optimization

• Strong foundation in machine learning techniques (regression, classification, clustering, ensemble methods)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Experience in data visualization (Seaborn, Plotly, Tableau, or Power BI)

• Applied knowledge of statistics and probability for model development

• Hands-on experience with cloud-based ML platforms (AWS SageMaker, Azure ML, or GCP Vertex AI)

• Exposure to large-scale data processing (Spark, Hadoop)

Preferred Skills

• Deep learning frameworks (TensorFlow, PyTorch)

• Natural Language Processing (NLP), Large Language Models (LLMs), and Generative AI

• MLOps practices (MLFlow, Kubeflow, CI/CD pipelines for ML workflows)

• Data pipeline orchestration (Airflow, Prefect)

• Business domain knowledge (e.g., retail, finance)

Key Activities

• Preparing and preprocessing structured and unstructured data for analysis

• Designing, training, and validating machine learning models

• Deploying and operationalizing models in collaboration with engineering teams

• Building dashboards and data-driven visual insights for stakeholders

• Partnering with product and engineering teams to align models with business needs

• Monitoring, optimizing, and retraining models for performance improvements

JD:

• 6–10 years in database administration

• Strong hands-on experience with PostgreSQL

• Experience supporting production-grade systems

• Communicating with team members and clients requires strong active listening skills, clear verbal and nonverbal communication skills.

Technical Skills

• PostgreSQL: o indexing, partitioning, vacuuming o query optimization (EXPLAIN/ANALYZE)

• Experience with: o high-volume transactional systems o time-series / IoT data (preferred)

• Knowledge of: o replication (streaming/logical) o backup tools (pg_dump, WAL, etc.)

• Familiarity with cloud-managed DB services (AWS RDS, Aurora, etc.)  

Job Description: Database Administrator (DBA)

Experience Required: 3–8 Years

Location: Bangalore

About the Role

We are looking for a skilled, process-oriented, and proactive Database Administrator (DBA) with 3–5 years of experience in managing enterprise databases and cloud data platforms. The ideal candidate should have strong hands-on expertise in RDBMS technologies such as DB2 and columnar cloud databases, preferably Snowflake, along with exposure to DevOps tools and containerized environments such as Kubernetes, Jenkins, and Git.

The candidate will be responsible for database administration, performance tuning, automation, deployment support, and ensuring high availability, security, scalability, and adherence to operational processes and standards across enterprise data platforms.

Key Responsibilities

Administer, monitor, and maintain RDBMS environments, primarily DB2.

Manage and support columnar cloud database platforms, preferably Snowflake.

Perform database backup, recovery, replication, and disaster recovery planning.

Optimize SQL queries, indexing strategies, and database performance.

Support database migration, patching, upgrades, and capacity planning activities.

Follow and contribute to standardized operational processes, documentation, change management, and governance practices.

Ensure adherence to SLA, incident management, release management, and compliance procedures.

Support CI/CD and DevOps processes related to database deployments and infrastructure automation.

Collaborate with development and DevOps teams for release management and environment provisioning.

Work with containerized and orchestration platforms such as Kubernetes.

Utilize Jenkins pipelines for deployment automation and operational workflows.

Maintain version control and configuration management using Git.

Monitor database health, troubleshoot incidents, and resolve performance bottlenecks.

Ensure database security, compliance, and best practices are followed.

Create and maintain technical documentation, SOPs, runbooks, and operational procedures.

Required Skills & Qualifications

Technical Skills

3–5 years of hands-on experience as a DBA or Database Engineer.

Strong experience with RDBMS technologies, specifically:

IBM DB2

Hands-on experience with columnar cloud databases: Preferably Snowflake

Strong knowledge of SQL scripting and query tuning.

Knowledge of DevOps and CI/CD practices.

Experience with: 

Kubernetes

Jenkins

Git/GitHub/GitLab

Understanding of Linux/Unix administration.

Familiarity with cloud platforms such as AWS, Azure, or GCP is an advantage.

Knowledge of shell scripting or Python for automation is preferred.

Behavioral & Process Skills

Strong process orientation with focus on operational excellence and governance.

Experience working within defined IT processes, change management, and documentation standards.

Strong analytical and troubleshooting skills.

Good communication and collaboration abilities.

Ability to work in a fast-paced and dynamic environment.

• Ownership mindset with attention to detail.

Job Title: L2 Javascript Support Developer with good command over communication - Night Shift

Location: Bangalore. Mode: Work from Office. 

Experience: Min 1+ years. 

**Company Description**

TopGrep Tech, an ISO 27001:2022 and DPIIT-certified IT deep tech product engineering services company. We work with global enterprises & startups, covering SaaS, MVPs, AI, RAG, MCP, reliability engineering, DevOps, and cloud innovation.

**Role Description**

We are looking for engineers to join our Customer support Engineering team, focused on a low-code platform. This role is tailored for engineers who love debugging, diving deep into JavaScript code, query optimization, customer-facing problem-solving and automating the regular tasks.

**Key Responsibilities**

Debugging & Development

Investigate and resolve customer-reported issues in a JavaScript + JSON low-code environment. Identifying, fixing bugs, and implementing enhancements to improve product performance, reliability, and usability.

Understand and trace workflow execution paths, analyze payloads, and isolate breaking logic.

Be flexible to support customers worldwide.

Creating and maintaining documentation related to program development, logic, coding, testing, and changes. 

Implementing limited design changes or enhancements to improve performance, address obsolescence, or meet new requirements. 

Creating and maintaining documentation related to program development, logic, coding, testing, and changes. Identifying opportunities to improve existing processes and procedures related to product sustenance. 

Cross-Team Collaboration

Partner with customer success, and solution/engineering teams to triage and close issues faster.

Provide feedback from field operations to improve product robustness.

Participate in postmortems and continuous improvement cycles.

Ability to drive outcomes and meet delivery milestones while coordinating across multiple teams and managing interdependencies.

**Required Skills:**

1+ years in Solution Development or Engineering roles.

Strong grasp of JavaScript, JSON handling, and API interactions.

Knowledge of SQL and ability to debug query bottlenecks.

Familiarity with observability stacks (Grafana, Loki, Tempo)

Knowledge of AWS is required (although not a deal breaker)

**Desirable Skills:**

Exposure to the Field Service Management domain, or working in products that have workflows, debugging algorithms related to scheduling or work done on backend systems is an added advantage.

**Why Join Us**

Unique opportunity to form a front-facing layer that not only is the front-line to customer deployments, but also has the ability to work closely with Solution Architects and others to influence Product blueprints.

Work across the full tech stack — from debugging backend services(Java, spring boot) to exploring front-end interfaces built with React and extending into mobile UI development.

Build internal tools, fix production issues, and contribute to engineering stability, all while learning from experienced platform, product and solution engineers.

• Be part of a high-impact team that bridges engineering and customer experience, where your work helps improve both product quality and customer trust.