50+ ETL Jobs in India

• Overall 6+ years of experience in development and maintenance in a data engineering project.

• Collaborate with stakeholders to understand data requirements and translate them into technical solutions.

SQL

• Experienced in writing complex SQL queries and knowledge of SQL Analytical functions.

Databricks

• Design, develop, and deploy scalable data pipelines and ETL processes using Databricks.

• Optimize Spark jobs and ensure efficient data processing and storage

• Develop and maintain Databricks notebooks, workflows, and dashboards

• Proficient in building and optimizing data pipelines and workflows in Databricks

• Troubleshoot and resolve data pipeline issues and performance bottlenecks

• Monitor and manage data processing jobs to ensure high availability and reliability • Work with cloud platforms such as AWS, Azure, or Google Cloud to integrate Databricks with other services

• Knowledge of programming languages such as Python, Scala

• Stay current with the latest Databricks and big data technologies and trends

Cloud

• Experience working in cloud platforms( Azure/AWS platforms) and familiar with the cloud tools and technologies

We are hiring freelancers to work on advanced Data & AI projects using Databricks. If you are passionate about cloud platforms, machine learning, data engineering, or architecture, and want to work with cutting-edge tools on real-world challenges, this is the opportunity for you!

✅ Key Details

• Work Type: Freelance / Contract
• Location: Remote
• Time Zones: IST / EST only
• Domain: Data & AI, Cloud, Big Data, Machine Learning
• Collaboration: Work with industry leaders on innovative projects

🔹 Open Roles

1. Databricks – Senior Consultant

• Skills: Data Warehousing, Python, Java, Scala, ETL, SQL, AWS, GCP, Azure
• Experience: 6+ years

2. Databricks – ML Engineer

• Skills: CI/CD, MLOps, Machine Learning, Spark, Hadoop
• Experience: 4+ years

3. Databricks – Solution Architect

• Skills: Azure, GCP, AWS, CI/CD, MLOps
• Experience: 7+ years

4. Databricks – Solution Consultant

• Skills: SQL, Spark, BigQuery, Python, Scala
• Experience: 2+ years

✅ What We Offer

• Opportunity to work with top-tier professionals and clients
• Exposure to cutting-edge technologies and real-world data challenges
• Flexible remote work environment aligned with IST / EST time zones
• Competitive compensation and growth opportunities

📌 Skills We Value

Cloud Computing | Data Warehousing | Python | Java | Scala | ETL | SQL | AWS | GCP | Azure | CI/CD | MLOps | Machine Learning | Spark |

Role Overview

We're looking for experienced Data Engineers who can independently design, build, and manage scalable data platforms. You'll work directly with clients and internal teams to develop robust data pipelines that support analytics, AI/ML, and operational systems.

You’ll also play a mentorship role and help establish strong engineering practices across our data projects.

Key Responsibilities

• Design and develop large-scale, distributed data pipelines (batch and streaming)
• Implement scalable data models, warehouses/lakehouses, and data lakes
• Translate business requirements into technical data solutions
• Optimize data pipelines for performance and reliability
• Ensure code is clean, modular, tested, and documented
• Contribute to architecture, tooling decisions, and platform setup
• Review code/design and mentor junior engineers

Must-Have Skills

• Strong programming skills in Python and advanced SQL
• Solid grasp of ETL/ELT, data modeling (OLTP & OLAP), and stream processing
• Hands-on experience with frameworks like Apache Spark, Flink, etc.
• Experience with orchestration tools like Airflow
• Familiarity with CI/CD pipelines and Git
• Ability to debug and scale data pipelines in production

Preferred Skills

• Experience with cloud platforms (AWS preferred, GCP or Azure also fine)
• Exposure to Databricks, dbt, or similar tools
• Understanding of data governance, quality frameworks, and observability
• Certifications (e.g., AWS Data Analytics, Solutions Architect, Databricks) are a bonus

What We’re Looking For

• Problem-solver with strong analytical skills and attention to detail
• Fast learner who can adapt across tools, tech stacks, and domains
• Comfortable working in fast-paced, client-facing environments
• Willingness to travel within India when required

About Moative

Moative, an Applied AI company, designs and builds transformation AI solutions for traditional industries in energy, utilities, healthcare & lifesciences, and more. Through Moative Labs, we build AI micro-products and launch AI startups with partners in vertical markets that align with our theses.

Our Past: We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Our Team: Our team of 20+ employees consist of data scientists, AI/ML Engineers, and mathematicians from top engineering and research institutes such as IITs, CERN, IISc, UZH, Ph.Ds. Our team includes academicians, IBM Research Fellows, and former founders.

Work you’ll do

As a Data Engineer, you will work on data architecture, large-scale processing systems, and data flow management. You will build and maintain optimal data architecture and data pipelines, assemble large, complex data sets, and ensure that data is readily available to data scientists, analysts, and other users. In close collaboration with ML engineers, data scientists, and domain experts, you’ll deliver robust, production-grade solutions that directly impact business outcomes. Ultimately, you will be responsible for developing and implementing systems that optimize the organization’s data use and data quality.

Responsibilities

• Create and maintain optimal data architecture and data pipelines on cloud infrastructure (such as AWS/ Azure/ GCP)
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements
• Build the pipeline infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Support development of analytics that utilize the data pipeline to provide actionable insights into key business metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs

Who you are

You are a passionate and results-oriented engineer who understands the importance of data architecture and data quality to impact solution development, enhance products, and ultimately improve business applications. You thrive in dynamic environments and are comfortable navigating ambiguity. You possess a strong sense of ownership and are eager to take initiative, advocating for your technical decisions while remaining open to feedback and collaboration. 

You have experience in developing and deploying data pipelines to support real-world applications. You have a good understanding of data structures and are excellent at writing clean, efficient code to extract, create and manage large data sets for analytical uses. You have the ability to conduct regular testing and debugging to ensure optimal data pipeline performance. You are excited at the possibility of contributing to intelligent applications that can directly impact business services and make a positive difference to users.

Skills & Requirements

• 3+ years of hands-on experience as a data engineer, data architect or similar role, with a good understanding of data structures and data engineering.
• Solid knowledge of cloud infra and data-related services on AWS (EC2, EMR, RDS, Redshift) and/ or Azure.
• Advanced knowledge of SQL, including writing complex queries, stored procedures, views, etc.
• Strong experience with data pipeline and workflow management tools (such as Luigi, Airflow).
• Experience with common relational SQL, NoSQL and Graph databases.
• Strong experience with scripting languages: Python, PySpark, Scala, etc.
• Practical experience with basic DevOps concepts: CI/CD, containerization (Docker, Kubernetes), etc
• Experience with big data tools (Spark, Kafka, etc) and stream processing.
• Excellent communication skills to collaborate with colleagues from both technical and business backgrounds, discuss and convey ideas and findings effectively.
• Ability to analyze complex problems, think critically for troubleshooting and develop robust data solutions.
• Ability to identify and tackle issues efficiently and proactively, conduct thorough research and collaborate to find long-term, scalable solutions.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less. Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply. We encourage you to apply even if you believe you do not meet all the requirements listed above.  

That said, you should demonstrate that you are in the 90th percentile or above. This may mean that you have studied in top-notch institutions, won competitions that are intellectually demanding, built something of your own, or rated as an outstanding performer by your current or previous employers. 

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to work out of our offices in Chennai.

• 4= years of experience
• Proficiency in Python programming.
• Experience with Python Service Development (RestAPI/FlaskAPI)
• Basic knowledge of front-end development.
• Basic knowledge of Data manipulation and analysis libraries
• Code versioning and collaboration. (Git)
• Knowledge for Libraries for extracting data from websites.
• Knowledge of SQL and NoSQL databases
• Familiarity with Cloud (Azure /AWS) technologies

Role: Technical Lead - Finance Solutions

Exp: 3 - 6 Years

CTC: up to 20 LPA

Required Qualifications

• Bachelor’s degree in Finance, Business Administration, Information Systems, or related field
• 3+ years of hands-on implementation/project management experience
• Proven experience delivering projects in Fintech, SaaS, or ERP environments
• Strong understanding of accounting principles and financial workflows
• Hands-on SQL experience, including the ability to write and debug complex queries (joins, CTEs, subqueries)
• Experience working with ETL pipelines or data migration processes
• Proficiency in tools like Jira, Confluence, Excel, and project tracking systems
• Strong communication and stakeholder management skills
• Ability to manage multiple projects simultaneously and drive client success

Job Title: Lead Data Engineer

📍 Location: Pune

🧾 Experience: 10+ Years

💰 Budget: Up to 1.7 LPM

Responsibilities

• Collaborate with Data & ETL teams to review, optimize, and scale data architectures within Snowflake.
• Design, develop, and maintain efficient ETL/ELT pipelines and robust data models.
• Optimize SQL queries for performance and cost efficiency.
• Ensure data quality, reliability, and security across pipelines and datasets.
• Implement Snowflake best practices for performance, scaling, and governance.
• Participate in code reviews, knowledge sharing, and mentoring within the data engineering team.
• Support BI and analytics initiatives by enabling high-quality, well-modeled datasets.

Exp: 10+ Years

CTC: 1.7 LPM

Location: Pune

SnowFlake Expertise Profile

Should hold 10 + years of experience with strong skills with core understanding of cloud data warehouse principles and extensive experience in designing, building, optimizing, and maintaining robust and scalable data solutions on the Snowflake platform.

Possesses a strong background in data modelling, ETL/ELT, SQL development, performance tuning, scaling, monitoring and security handling.

Responsibilities:

* Collaboration with Data and ETL team to review code, understand current architecture and help improve it based on Snowflake offerings and experience

* Review and implement best practices to design, develop, maintain, scale, efficiently monitor data pipelines and data models on the Snowflake platform for

ETL or BI.

* Optimize complex SQL queries for data extraction, transformation, and loading within Snowflake.

* Ensure data quality, integrity, and security within the Snowflake environment.

* Participate in code reviews and contribute to the team's development standards.

Education:

* Bachelor’s degree in computer science, Data Science, Information Technology, or anything equivalent.

* Relevant Snowflake certifications are a plus (e.g., Snowflake certified Pro / Architecture / Advanced).

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring data engineers interested in data pipeline development, data integration, and business intelligence. The internship offers flexible start and end dates. A short quiz or technical task may be required as part of the selection process.

Responsibilities:

-Design, build, and maintain scalable data pipelines for

structured and unstructured data sources

-Develop ETL processes to collect, clean, and transform data

from internal and external systems. Support integration of data into

dashboards, analytics tools, and reporting systems

-Collaborate with data analysts and software developers to

improve data accessibility and performance.

-Document workflows and maintain data infrastructure best

practices.

-Assist in identifying opportunities to automate repetitive data

tasks

Please send your resume to talent@springer. capital

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring data engineers interested in data pipeline development, data integration, and business intelligence. The internship offers flexible start and end dates. A short quiz or technical task may be required as part of the selection process.

Responsibilities:

-Design, build, and maintain scalable data pipelines for

structured and unstructured data sources

-Develop ETL processes to collect, clean, and transform data

from internal and external systems. Support integration of data into

dashboards, analytics tools, and reporting systems

-Collaborate with data analysts and software developers to

improve data accessibility and performance.

-Document workflows and maintain data infrastructure best

practices.

-Assist in identifying opportunities to automate repetitive data

tasks

Please send your resume to talent@springer. capital

Role Overview:

As a Technical Product Manager – ETL, you will bridge the gap between data engineering, product development, and business strategy. You will be responsible for defining and driving the roadmap for data integration and ETL platforms, ensuring seamless data flows across our systems, and enabling data-driven decision-making across the organization.

Key Responsibilities:

• Define and own the product roadmap for ETL and data ingestion platforms.
• Collaborate with engineering, data science, analytics, and business stakeholders to gather requirements and translate them into scalable product solutions.
• Drive end-to-end lifecycle of data integration features — from ideation and planning to execution and release.
• Evaluate, prioritize, and manage product features and backlog based on business value and technical feasibility.
• Ensure data quality, lineage, governance, and compliance best practices are embedded in product designs.
• Collaborate with cross-functional teams to enhance data observability and reliability in data pipelines.
• Stay updated on industry trends, tools, and best practices in data engineering, ETL, and data warehousing.

Required Qualifications:

• 4+ years of experience in product management, preferably in technical or data-centric roles.
• Strong understanding of ETL/ELT processes, data integration, and data pipeline architecture.
• Familiarity with tools like Apache Airflow, dbt, Informatica, Talend, or similar.
• Experience working with data platforms such as Snowflake, Redshift, BigQuery, or Databricks.
• Solid understanding of SQL and data modeling concepts.
• Proven ability to work with engineering teams using Agile methodologies.
• Excellent communication, organizational, and stakeholder management skills.

We are looking for experienced Data Engineers who can independently build, optimize, and manage scalable data pipelines and platforms.

In this role, you’ll:

• Work closely with clients and internal teams to deliver robust data solutions powering analytics, AI/ML, and operational systems.
• Mentor junior engineers and bring engineering discipline into our data engagements.

Key Responsibilities

• Design, build, and optimize large-scale, distributed data pipelines for both batch and streaming use cases.
• Implement scalable data models, warehouses/lakehouses, and data lakes to support analytics and decision-making.
• Collaborate with stakeholders to translate business requirements into technical solutions.
• Drive performance tuning, monitoring, and reliability of data pipelines.
• Write clean, modular, production-ready code with proper documentation and testing.
• Contribute to architectural discussions, tool evaluations, and platform setup.
• Mentor junior engineers and participate in code/design reviews.

Must-Have Skills

• Strong programming skills in Python and advanced SQL expertise.
• Deep understanding of ETL/ELT, data modeling (OLTP & OLAP), warehousing, and stream processing.
• Hands-on with distributed data processing frameworks (Apache Spark, Flink, or similar).
• Experience with orchestration tools like Airflow (or similar).
• Familiarity with CI/CD pipelines and Git.
• Ability to debug, optimize, and scale data pipelines in production.

Good to Have

• Experience with cloud platforms (AWS preferred; GCP/Azure also welcome).
• Exposure to Databricks, dbt, or similar platforms.
• Understanding of data governance, quality frameworks, and observability.
• Certifications (e.g., AWS Data Analytics, Solutions Architect, or Databricks).

Other Expectations

• Comfortable working in fast-paced, client-facing environments.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to adapt across tools, stacks, and business domains.
• Willingness to travel within India for short/medium-term client engagements, as needed.

To be successful in this role, you should possess

• Collaborate closely with Product Management and Engineering leadership to devise and build the

right solution.

• Participate in Design discussions and brainstorming sessions to select, integrate, and maintain Big

Data tools and frameworks required to solve Big Data problems at scale.

• Design and implement systems to cleanse, process, and analyze large data sets using distributed

processing tools like Akka and Spark.

• Understanding and critically reviewing existing data pipelines, and coming up with ideas in

collaboration with Technical Leaders and Architects to improve upon current bottlenecks

• Take initiatives, and show the drive to pick up new stuff proactively, and work as a Senior

Individual contributor on the multiple products and features we have.

• 3+ years of experience in developing highly scalable Big Data pipelines.

• In-depth understanding of the Big Data ecosystem including processing frameworks like Spark,

Akka, Storm, and Hadoop, and the file types they deal with.

• Experience with ETL and Data pipeline tools like Apache NiFi, Airflow etc.

• Excellent coding skills in Java or Scala, including the understanding to apply appropriate Design

Patterns when required.

• Experience with Git and build tools like Gradle/Maven/SBT.

• Strong understanding of object-oriented design, data structures, algorithms, profiling, and

optimization.

• Have elegant, readable, maintainable and extensible code style.

You are someone who would easily be able to

• Work closely with the US and India engineering teams to help build the Java/Scala based data

pipelines

• Lead the India engineering team in technical excellence and ownership of critical modules; own

the development of new modules and features

• Troubleshoot live production server issues.

• Handle client coordination and be able to work as a part of a team, be able to contribute

independently and drive the team to exceptional contributions with minimal team supervision

• Follow Agile methodology, JIRA for work planning, issue management/tracking

Additional Project/Soft Skills:

• Should be able to work independently with India & US based team members.

• Strong verbal and written communication with ability to articulate problems and solutions over phone and emails.

• Strong sense of urgency, with a passion for accuracy and timeliness.

• Ability to work calmly in high pressure situations and manage multiple projects/tasks.

• Ability to work independently and possess superior skills in issue resolution.

• Should have the passion to learn and implement, analyze and troubleshoot issues

Role Overview

We are seeking a skilled and highly motivated ETL Developer to fill a key role working on distributed team, in a dynamic fast-paced environment. This project is an enterprise-wide distributed system with users worldwide.

This hands-on role requires the candidate to work collaboratively in a squad following a Scaled Agile development methodology. You must be a self-starter, delivery-focused, and possess a broad set of technology skills.

We will count on you to:

• Designs, codes, tests and debugs new and existing software applications primarily using ETL technologies and relational database languages.
• Excellent documentation and presentation skills, analytical and critical thinking skills, and the ability to identify needs and take initiative ​
• Proven expertise working on large scale enterprise applications
• Working on Agile/Scrum/Spotify development methodology
• Quickly learn new technologies, solve complex problems and be able to ramp up on new projects quickly.
• Communicate effectively and be able to review ones work as well as others with a particular attention to accuracy and detail.
• The candidate must demonstrate a great knowledge of ETL technology and be able to work effectively on distributed components.​
• Investigate research and correct defects effectively and efficiently.
• Ensure code meets specifications, quality and security standards, and is maintainable
• Complete work within prescribed standards and follow prescribed workflow process.
• Unit test software components efficiently and effectively
• Ensure that solution requirements are gathered accurately, understood, and that all stakeholders have transparency on impacts
• Follow engineering best practices and principles within your organisation
• Work closely with a Lead Software Engineer
• Build strong relationships with members of your engineering squad

What you need to have:

• Proven track record of successfully delivering software solutions
• The ability to communicate effectively to both technical and non-technical colleagues in a cross-functional environment
• Some experience or knowledge of working with Agile at Scale, Lean and Continuous Delivery approaches such as Continuous Integration, Test-Driven Development and Infrastructure as Code
• Some experience with cloud native software architectures
• Proven experience in the remediation of SAST/DAST findings
• Understanding of CI/CD and DevOps practices
• Strong Self-starter and active squad contributor

Technical Skills or Qualifications Required:

Mandatory Skills:

• Strong ETL Skills: Snap logic
• Expertise on Relational Databases Oracle, SSMS and familiar with NO SQL DB MongoDB
• Knowledge of data warehousing concepts and data modelling
• Experience of performing validations on large-scale data
• Strong Rest API ,JSON’s and Data transformations experience
• Experience with Unit Testing and Integration Testing
• Knowledge of SDLC processes, practices, and experience with some or all of: Confluence, JIRA, ADO, Github etc.

Role Overview:

We are seeking a talented and experienced Data Architect with strong data visualization capabilities to join our dynamic team in Mumbai. As a Data Architect, you will be responsible for designing, building, and managing our data infrastructure, ensuring its reliability, scalability, and performance. You will also play a crucial role in transforming complex data into insightful visualizations that drive business decisions. This role requires a deep understanding of data modeling, database technologies (particularly Oracle Cloud), data warehousing principles, and proficiency in data manipulation and visualization tools, including Python and SQL.

Responsibilities:

• Design and implement robust and scalable data architectures, including data warehouses, data lakes, and operational data stores, primarily leveraging Oracle Cloud services.
• Develop and maintain data models (conceptual, logical, and physical) that align with business requirements and ensure data integrity and consistency.
• Define data governance policies and procedures to ensure data quality, security, and compliance.
• Collaborate with data engineers to build and optimize ETL/ELT pipelines for efficient data ingestion, transformation, and loading.
• Develop and execute data migration strategies to Oracle Cloud.
• Utilize strong SQL skills to query, manipulate, and analyze large datasets from various sources.
• Leverage Python and relevant libraries (e.g., Pandas, NumPy) for data cleaning, transformation, and analysis.
• Design and develop interactive and insightful data visualizations using tools like [Specify Visualization Tools - e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly] to communicate data-driven insights to both technical and non-technical stakeholders.
• Work closely with business analysts and stakeholders to understand their data needs and translate them into effective data models and visualizations.
• Ensure the performance and reliability of data visualization dashboards and reports.
• Stay up-to-date with the latest trends and technologies in data architecture, cloud computing (especially Oracle Cloud), and data visualization.
• Troubleshoot data-related issues and provide timely resolutions.
• Document data architectures, data flows, and data visualization solutions.
• Participate in the evaluation and selection of new data technologies and tools.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, or a related field.
• Proven experience (typically 5+ years) as a Data Architect, Data Modeler, or similar role. 
• 
  
• Deep understanding of data warehousing concepts, dimensional modeling (e.g., star schema, snowflake schema), and ETL/ELT processes.
• Extensive experience working with relational databases, particularly Oracle, and proficiency in SQL.
• Hands-on experience with Oracle Cloud data services (e.g., Autonomous Data Warehouse, Object Storage, Data Integration).
• Strong programming skills in Python and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
• Demonstrated ability to create compelling and effective data visualizations using industry-standard tools (e.g., Tableau, Power BI, Matplotlib, Seaborn, Plotly).
• Excellent analytical and problem-solving skills with the ability to interpret complex data and translate it into actionable insights. 
• Strong communication and presentation skills, with the ability to effectively communicate technical concepts to non-technical audiences. 
• Experience with data governance and data quality principles.
• Familiarity with agile development methodologies.
• Ability to work independently and collaboratively within a team environment.
• 
  

Application Link- https://forms.gle/km7n2WipJhC2Lj2r5

Job Title: IntelliMatch

Location: Bangalore (Hydrid)

Experience: 6+ Years

Employment Type: Full-time

Role:

We are looking for a highly skilled and experienced professional with deep knowledge in IntelliMatch and Microsoft SQL Server (MSSQL) to join our dynamic team. The ideal candidate should have a strong understanding of financial reconciliations and hands-on experience implementing IntelliMatch solutions in enterprise environments. Working experience with ETL tools preferably Informatica.

Key Responsibilities:

• Design, configure, and implement reconciliation processes using IntelliMatch.
• Manage and optimize data processing workflows in MSSQL for high-performance reconciliation systems.
• Working experience with ETL tools preferably Informatica
• Collaborate with business analysts and stakeholders to gather reconciliation requirements and translate them into technical solutions.
• Troubleshoot and resolve complex issues in the reconciliation process.
• Ensure data accuracy, integrity, and compliance with business rules and controls.
• Support end-to-end testing and deployment processes.
• Document technical solutions and maintain configuration records.
• 6+ years of IT experience with a strong focus on IntelliMatch (FIS) implementation and support.
• Hands-on expertise in MSSQL writing complex queries, stored procedures, performance tuning, etc.
• Strong knowledge of reconciliation workflows in financial services.
• Ability to work independently in a fast-paced environment.

Proven experience as a Data Scientist or similar role with relevant experience of at least 4 years and total experience 6-8 years.

· Technical expertiseregarding data models, database design development, data mining and segmentation techniques

· Strong knowledge of and experience with reporting packages (Business Objects and likewise), databases, programming in ETL frameworks

· Experience with data movement and management in the Cloud utilizing a combination of Azure or AWS features

· Hands on experience in data visualization tools – Power BI preferred

· Solid understanding of machine learning

· Knowledge of data management and visualization techniques

· A knack for statistical analysis and predictive modeling

· Good knowledge of Python and Matlab

· Experience with SQL and NoSQL databases including ability to write complex queries and procedures

Key Responsibilities

• Data Architecture & Pipeline Development
• Design, implement, and optimize ETL/ELT pipelines using Azure Data Factory, Databricks, and Synapse Analytics.
• Integrate structured, semi-structured, and unstructured data from multiple sources.
• Data Storage & Management
• Develop and maintain Azure SQL Database, Azure Synapse Analytics, and Azure Data Lake solutions.
• Ensure proper indexing, partitioning, and storage optimization for performance.
• Data Governance & Security
• Implement role-based access control, data encryption, and compliance with GDPR/CCPA.
• Ensure metadata management and data lineage tracking with Azure Purview or similar tools.
• Collaboration & Stakeholder Engagement
• Work closely with BI developers, analysts, and business teams to translate requirements into data solutions.
• Provide technical guidance and best practices for data integration and transformation.
• Monitoring & Optimization
• Set up monitoring and alerting for data pipelines.
• 
  

The Opportunity

We’re looking for a Senior Data Engineer to join our growing Data Platform team. This role is a hybrid of data engineering and business intelligence, ideal for someone who enjoys solving complex data challenges while also building intuitive and actionable reporting solutions.

You’ll play a key role in designing and scaling the infrastructure and pipelines that power analytics, dashboards, machine learning, and decision-making across Sonatype. You’ll also be responsible for delivering clear, compelling, and insightful business intelligence through tools like Looker Studio and advanced SQL queries.

What You’ll Do

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Architect and optimize data models and storage solutions for analytics and operational use.
• Create and manage business intelligence reports and dashboards using tools like Looker Studio, Power BI, or similar.
• Collaborate with data scientists, analysts, and stakeholders to ensure datasets are reliable, meaningful, and actionable.
• Own and evolve parts of our data platform (e.g., Airflow, dbt, Spark, Redshift, or Snowflake).
• Write complex, high-performance SQL queries to support reporting and analytics needs.
• Implement observability, alerting, and data quality monitoring for critical pipelines.
• Drive best practices in data engineering and business intelligence, including documentation, testing, and CI/CD.
• Contribute to the evolution of our next-generation data lakehouse and BI architecture.

What We’re Looking For

Minimum Qualifications

• 5+ years of experience as a Data Engineer or in a hybrid data/reporting role.
• Strong programming skills in Python, Java, or Scala.
• Proficiency with data tools such as Databricks, data modeling techniques (e.g., star schema, dimensional modeling), and data warehousing solutions like Snowflake or Redshift.
• Hands-on experience with modern data platforms and orchestration tools (e.g., Spark, Kafka, Airflow).
• Proficient in SQL with experience in writing and optimizing complex queries for BI and analytics.
• Experience with BI tools such as Looker Studio, Power BI, or Tableau.
• Experience in building and maintaining robust ETL/ELT pipelines in production.
• Understanding of data quality, observability, and governance best practices.

Bonus Points

• Experience with dbt, Terraform, or Kubernetes.
• Familiarity with real-time data processing or streaming architectures.
• Understanding of data privacy, compliance, and security best practices in analytics and reporting.

Why You’ll Love Working Here

• Data with purpose: Work on problems that directly impact how the world builds secure software.
• Full-spectrum impact: Use both engineering and analytical skills to shape product, strategy, and operations.
• Modern tooling: Leverage the best of open-source and cloud-native technologies.
• Collaborative culture: Join a passionate team that values learning, autonomy, and real-world impact.

About the Role

We’re hiring a Data Engineer to join our Data Platform team. You’ll help build and scale the systems that power analytics, reporting, and data-driven features across the company. This role works with engineers, analysts, and product teams to make sure our data is accurate, available, and usable.

What You’ll Do

• Build and maintain reliable data pipelines and ETL/ELT workflows.
• Develop and optimize data models for analytics and internal tools.
• Work with team members to deliver clean, trusted datasets.
• Support core data platform tools like Airflow, dbt, Spark, Redshift, or Snowflake.
• Monitor data pipelines for quality, performance, and reliability.
• Write clear documentation and contribute to test coverage and CI/CD processes.
• Help shape our data lakehouse architecture and platform roadmap.

What You Need

• 2–4 years of experience in data engineering or a backend data-related role.
• Strong skills in Python or another backend programming language.
• Experience working with SQL and distributed data systems (e.g., Spark, Kafka).
• Familiarity with NoSQL stores like HBase or similar.
• Comfortable writing efficient queries and building data workflows.
• Understanding of data modeling for analytics and reporting.
• Exposure to tools like Airflow or other workflow schedulers.

Bonus Points

• Experience with DBT, Databricks, or real-time data pipelines.
• Familiarity with cloud infrastructure tools like Terraform or Kubernetes.
• Interest in data governance, ML pipelines, or compliance standards.

Why Join Us?

• Work on data that supports meaningful software security outcomes.
• Use modern tools in a cloud-first, open-source-friendly environment.
• Join a team that values clarity, learning, and autonomy.

If you're excited about building impactful software and helping others do the same, this is an opportunity to grow as a technical leader and make a meaningful impact.

• Experience:
• 7+ years of experience in ETL development using IBM DataStage.
• Hands-on experience with designing, developing, and maintaining ETL jobs for data warehousing or business intelligence solutions.
• Experience with data integration across relational databases (e.g., IBM DB2, Oracle, MS SQL Server), flat files, and other data sources.
• Technical Skills:
• Strong proficiency in IBM DataStage (Designer, Director, Administrator, and Manager components).
• Expertise in SQL and database programming (e.g., PL/SQL, T-SQL).
• Familiarity with data warehousing concepts, data modeling, and ETL/ELT processes.
• Experience with scripting languages (e.g., UNIX shell scripting) for automation.
• Knowledge of CI/CD tools (e.g., Git, BitBucket, Artifactory) and Agile methodologies.
• Familiarity with IBM Watsonx.data integration or other ETL tools (e.g., Informatica, Talend) is a plus.
• Experience with big data technologies (e.g., Hadoop) is an advantage.
• Soft Skills:
• Excellent problem-solving and analytical skills.
• Strong communication and interpersonal skills to collaborate with stakeholders and cross-functional teams.
• Ability to work independently and manage multiple priorities in a fast-paced environment.

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring data engineers interested in data pipeline development, data integration, and business intelligence.

The internship offers flexible start and end dates. A short quiz or technical task may be required as part of the selection process.

Responsibilities:

• Design, build, and maintain scalable data pipelines for structured and unstructured data sources
• Develop ETL processes to collect, clean, and transform data from internal and external systems
• Support integration of data into dashboards, analytics tools, and reporting systems
• Collaborate with data analysts and software developers to improve data accessibility and performance
• Document workflows and maintain data infrastructure best practices
• Assist in identifying opportunities to automate repetitive data tasks

Springer Capital is a cross-border asset management firm specializing in real estate investment banking between China and the USA. We are offering a remote internship for aspiring data engineers interested in data pipeline development, data integration, and business intelligence. The internship offers flexible start and end dates. A short quiz or technical task may be required as part of the selection process. 

Responsibilities: 

▪ Design, build, and maintain scalable data pipelines for structured and unstructured data sources 

▪ Develop ETL processes to collect, clean, and transform data from internal and external systems 

▪ Support integration of data into dashboards, analytics tools, and reporting systems 

▪ Collaborate with data analysts and software developers to improve data accessibility and performance 

▪ Document workflows and maintain data infrastructure best practices 

▪ Assist in identifying opportunities to automate repetitive data tasks 

Position Responsibilities:

This role is part of the consulting team and will be responsible for performing data migrations from legacy and third-party databases, as well as data changes and data corrections.  This role is customer-facing and is expected to conduct customer phone calls and presentations. Verifying the accuracy and completeness of all projects, to ensure quality work, is a crucial part of this role.  In addition, this role is expected to contribute to the maintenance and enhancement of Deltek’s data migration tools and documents, as well as provide feedback and solutions to improve the scalability and overall implementation experience. The ideal candidate will be quality-focused while managing multiple priorities in a fast-paced environment to meet business and technical demands across a broad spectrum of customers from multiple industry verticals.

Job Duties:

• Performs data migrations, data changes, and data corrections.
• Develop and maintain extract, transform, and load processes (e.g. Python, Airflow, SSIS) that handle diverse source systems and high-volume datasets.
• Learn proprietary data tools for existing and new products. This includes understanding each product’s concepts, methods, procedures, technologies, and systems.
• Build and govern a centralized repository of reusable, product-agnostic SQL queries, views, stored procedures, and functions.
• Drive Git-based version control, code reviews and CI/CD for database artefacts.
• Assists customers and consultants with cleaning up existing data and building substitution tables to prepare for data migrations and changes.
• Verifies accuracy and completeness of converted data.
• Lead root-cause investigations and collaborate on corrective actions with the broader team.
• Provides thorough and timely communication regarding issues, change requests, and project statuses to the internal and external project team, including customers, project coordinators, functional consultants, and supervisors.
• Displays excellent communication skills, including presentation, persuasion, and negotiation skills required in working with customers and co-workers, including the ability to communicate effectively and remain calm and courteous under pressure.
• Author clear technical documentation (e.g. ETL designs, SQL library guidelines)
• Documents all data migrations, changes, and corrections accurately and completely in conversion delivery documentation.
• Works collaboratively in a team environment with a spirit of cooperation.
• Mentor colleagues on SQL techniques and ETL patterns, fostering a culture of continuous learning.
• Provides exceptional customer service.
• Estimates time and budget requirements for data migrations and changes.
• Works within budget and timeframe requirements for completion of each project.
• Handles changes in scope through documentation in conversion delivery documentation, statement of work, and change orders.
• Creates and maintains a procedures manual for data migrations, changes, and fixes
• Files TFS tickets and communicates to the development team any bugs and enhancements needed for new and existing data tools to improve accuracy, timeliness, and profitability of work.

Qualifications:

Essential Skills & Experience

• SQL Mastery: 5+ years crafting complex, high-performance T-SQL across platforms (e.g. SQL Server, PostgreSQL, Oracle).
• ETL Expertise: Demonstrated success designing, building and operating end-to-end ETL/ELT pipelines in enterprise environments.
• Scripting & Orchestration: Proficiency in at least one language (e.g. Python (preferable), PowerShell) and familiarity with orchestration tools (Airflow, Azure Data Factory, etc.).
• Version Control & CI/CD: Strong Git workflows experience and automated deployment pipelines for database objects.
• Client-Facing Experience: Comfortable engaging with clients to capture requirements, present technical options and deliver projects to schedule.
• 3+ years of hands-on experience working in a customer-facing role
• Advanced written and verbal communication skills using English
• Advanced conflict management and negotiation
• Advanced troubleshooting and problem-solving skills
• Basic functional knowledge of Deltek VantagePoint – For validating purposes
• Basic understanding of accounting principles

• 5 -10 years of experience in ETL Testing, Snowflake, DWH Concepts.
• Strong SQL knowledge & debugging skills are a must.
• Experience on Azure and Snowflake Testing is plus
• Experience with Qlik Replicate and Compose tools (Change Data Capture) tools is considered a plus
• Strong Data warehousing Concepts, ETL tools like Talend Cloud Data Integration, Pentaho/Kettle tool
• Experience in JIRA, Xray defect management toolis good to have.
• Exposure to the financial domain knowledge is considered a plus
• Testing the data-readiness (data quality) address code or data issues
• Demonstrated ability to rationalize problems and use judgment and innovation to define clear and concise solutions
• Demonstrate strong collaborative experience across regions (APAC, EMEA and NA) to effectively and efficiently identify root cause of code/data issues and come up with a permanent solution
• Prior experience with State Street and Charles River Development (CRD) considered a plus
• Experience in tools such as PowerPoint, Excel, SQL
• Exposure to Third party data providers such as Bloomberg, Reuters, MSCI and other Rating agencies is a plus

Key Attributes include:

• Team player with professional and positive approach
• Creative, innovative and able to think outside of the box
• Strong attention to detail during root cause analysis and defect issue resolution
• Self-motivated & self-sufficient
• Effective communicator both written and verbal
• Brings a high level of energy with enthusiasm to generate excitement and motivate the team
• Able to work under pressure with tight deadlines and/or multiple projects
• Experience in negotiation and conflict resolution

Role: Cleo EDI Solution Architect / Sr EDI Developer

Location : Remote

Start Date – asap

This is a niche technology (Cleo EDI), which enables the integration of ERP with Transp. Mgt/Extended Supply Chain etc

Expertise in designing and developing end-to-end integration solutions, especially B2B integrations involving EDI (Electronic Data Interchange) and APIs.

Familiarity with Cleo Integration Cloud or similar EDI platforms.

Strong experience with Azure Integration Services, particularly:

• Azure Data Factory – for orchestrating data movement and transformation
• Azure Functions – for serverless compute tasks in integration pipelines
• Azure Logic Apps or Service Bus – for message handling and triggering workflows

Understanding of ETL/ELT processes and data mapping.

Solid grasp of EDI standards (e.g., X12, EDIFACT) and workflows.

Experience working with EDI developers and analysts to align business requirements with technical implementation.

Familiarity with Cleo EDI tools or similar platforms.

Develop and maintain EDI integrations using Cleo Integration Cloud (CIC), Cleo Clarify, or similar Cleo solutions.

Create, test, and deploy EDI maps for transactions such as 850, 810, 856, etc., and other EDI/X12/EDIFACT documents.

Configure trading partner setups, including communication protocols (AS2, SFTP, FTP, HTTPS).

Monitor EDI transaction flows, identify errors, troubleshoot, and implement fixes.

Collaborate with business analysts, ERP teams, and external partners to gather and analyze EDI requirements.

Document EDI processes, mappings, and configurations for ongoing support and knowledge sharing.

Provide timely support for EDI-related incidents, ensuring minimal disruption to business operations.

Participate in EDI onboarding projects for new trading partners and customers.

🚀 Hiring: Manual Tester

⭐ Experience: 5+ Years

📍 Location: Pan India

⭐ Work Mode:- Hybrid

⏱️ Notice Period: Immediate Joiners

(Only immediate joiners & candidates serving notice period)

Must-Have Skills:

✅5+ years of experience in Manual Testing

✅Solid experience in ETL, Database, and Report Testing

✅Strong expertise in SQL queries, RDBMS concepts, and DML/DDL operations

✅Working knowledge of BI tools such as Power BI

✅Ability to write effective Test Cases and Test Scenarios

Position Overview: We are looking for an experienced and highly skilled Senior Data Engineer to join our team and help design, implement, and optimize data systems that support high-end analytical solutions for our clients. As a customer-centric Data Engineer, you will work closely with clients to understand their business needs and translate them into robust, scalable, and efficient technical solutions. You will be responsible for end-to-end data modelling, integration workflows, and data transformation processes while ensuring security, privacy, and compliance.In this role, you will also leverage the latest advancements in artificial intelligence, machine learning, and large language models (LLMs) to deliver high-impact solutions that drive business success. The ideal candidate will have a deep understanding of data infrastructure, optimization techniques, and cost-effective data management

Key Responsibilities:

• Customer Collaboration:

– Partner with clients to gather and understand their business

requirements, translating them into actionable technical specifications.

– Act as the primary technical consultant to guide clients through data challenges and deliver tailored solutions that drive value.

•Data Modeling & Integration:

– Design and implement scalable, efficient, and optimized data models to support business operations and analytical needs.

– Develop and maintain data integration workflows to seamlessly extract, transform, and load (ETL) data from various sources into data repositories.

– Ensure smooth integration between multiple data sources and platforms, including cloud and on-premise systems

• Data Processing & Optimization:

– Develop, optimize, and manage data processing pipelines to enable real-time and batch data processing at scale.

– Continuously evaluate and improve data processing performance, optimizing for throughput while minimizing infrastructure costs.

• Data Governance & Security:

–Implement and enforce data governance policies and best practices, ensuring data security, privacy, and compliance with relevant industry regulations (e.g., GDPR, HIPAA).

–Collaborate with security teams to safeguard sensitive data and maintain privacy controls across data environments.

• Cross-Functional Collaboration:

– Work closely with data engineers, data scientists, and business

analysts to ensure that the data architecture aligns with organizational objectives and delivers actionable insights.

– Foster collaboration across teams to streamline data workflows and optimize solution delivery.

• Leveraging Advanced Technologies:

– Utilize AI, machine learning models, and large language models (LLMs) to automate processes, accelerate delivery, and provide

smart, data-driven solutions to business challenges.

– Identify opportunities to apply cutting-edge technologies to improve the efficiency, speed, and quality of data processing and analytics.

• Cost Optimization:

–Proactively manage infrastructure and cloud resources to optimize throughput while minimizing operational costs.

–Make data-driven recommendations to reduce infrastructure overhead and increase efficiency without sacrificing performance.

Qualifications:

• Experience:

– Proven experience (5+ years) as a Data Engineer or similar role, designing and implementing data solutions at scale.

– Strong expertise in data modelling, data integration (ETL), and data transformation processes.

– Experience with cloud platforms (AWS, Azure, Google Cloud) and big data technologies (e.g., Hadoop, Spark).

• Technical Skills:

– Advanced proficiency in SQL, data modelling tools (e.g., Erwin,PowerDesigner), and data integration frameworks (e.g., Apache

NiFi, Talend).

– Strong understanding of data security protocols, privacy regulations, and compliance requirements.

– Experience with data storage solutions (e.g., data lakes, data warehouses, NoSQL, relational databases).

• AI & Machine Learning Exposure:

– Familiarity with leveraging AI and machine learning technologies (e.g., TensorFlow, PyTorch, scikit-learn) to optimize data processing and analytical tasks.

–Ability to apply advanced algorithms and automation techniques to improve business processes.

• Soft Skills:

– Excellent communication skills to collaborate with clients, stakeholders, and cross-functional teams.

– Strong problem-solving ability with a customer-centric approach to solution design.

– Ability to translate complex technical concepts into clear, understandable terms for non-technical audiences.

• Education:

– Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field (or equivalent practical experience).

LIFE AT FOUNTANE:

• Fountane offers an environment where all members are supported, challenged, recognized & given opportunities to grow to their fullest potential.
• Competitive pay
• Health insurance for spouses, kids, and parents.
• PF/ESI or equivalent
• Individual/team bonuses
• Employee stock ownership plan
• Fun/challenging variety of projects/industries
• Flexible workplace policy - remote/physical
• Flat organization - no micromanagement
• Individual contribution - set your deadlines
• Above all - culture that helps you grow exponentially!

A LITTLE BIT ABOUT THE COMPANY:

Established in 2017, Fountane Inc is a Ventures Lab incubating and investing in new competitive technology businesses from scratch. Thus far, we’ve created half a dozen multi-million valuation companies in the US and a handful of sister ventures for large corporations, including Target, US Ventures, and Imprint Engine.

We’re a team of 120+ strong from around the world that are radically open-minded and believes in excellence, respecting one another, and pushing our boundaries to the furthest it's ever been.

1. Software Development Engineer - Salesforce

What we ask for

We are looking for strong engineers to build best in class systems for commercial &

wholesale banking at Bank, using Salesforce service cloud. We seek experienced

developers who bring deep understanding of salesforce development practices, patterns,

anti-patterns, governor limits, sharing & security model that will allow us to architect &

develop robust applications.

You will work closely with business, product teams to build applications which provide end

users with intuitive, clean, minimalist, easy to navigate experience

Develop systems by implementing software development principles and clean code

practices scalable, secure, highly resilient, have low latency

Should be open to work in a start-up environment and have confidence to deal with complex

issues keeping focus on solutions and project objectives as your guiding North Star

Technical Skills:

● Strong hands-on frontend development using JavaScript and LWC

● Expertise in backend development using Apex, Flows, Async Apex

● Understanding of Database concepts: SOQL, SOSL and SQL

● Hands-on experience in API integration using SOAP, REST API, graphql

● Experience with ETL tools , Data migration, and Data governance

● Experience with Apex Design Patterns, Integration Patterns and Apex testing

framework

● Follow agile, iterative execution model using CI-CD tools like Azure Devops, gitlab,

bitbucket

● Should have worked with at least one programming language - Java, python, c++

and have good understanding of data structures

Preferred qualifications

● Graduate degree in engineering

● Experience developing with India stack

● Experience in fintech or banking domain

Designing, building, and automating ETL processes using AWS services like Apache Sqoop, AWS S3, AWS CLI, Amazon 

EMR, Amazon MSK, Amazon Sagemaker. 

∙Developing and maintaining data pipelines to move and transform data from diverse sources into data warehouses or 

data lakes. 

∙Ensuring data quality and integrity through validation, cleansing, and monitoring ETL processes. 

∙Optimizing ETL workflows for performance, scalability, and cost efficiency within the AWS environment. 

∙Troubleshooting and resolving issues related to data processing and ETL workflows. 

∙Implementing and maintaining security measures and compliance standards for data pipelines and infrastructure. 

∙Documenting ETL processes, data mappings, and system architecture. 

We are looking for a skilled and motivated Data Engineer with strong experience in Python programming and Google Cloud Platform (GCP) to join our data engineering team. The ideal candidate will be responsible for designing, developing, and maintaining robust and scalable ETL (Extract, Transform, Load) data pipelines. The role involves working with various GCP services, implementing data ingestion and transformation logic, and ensuring data quality and consistency across systems.

Key Responsibilities:

• Design, develop, test, and maintain scalable ETL data pipelines using Python.
• Work extensively on Google Cloud Platform (GCP) services such as:
• Dataflow for real-time and batch data processing
• Cloud Functions for lightweight serverless compute
• BigQuery for data warehousing and analytics
• Cloud Composer for orchestration of data workflows (based on Apache Airflow)
• Google Cloud Storage (GCS) for managing data at scale
• IAM for access control and security
• Cloud Run for containerized applications
• Perform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.
• Implement and enforce data quality checks, validation rules, and monitoring.
• Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.
• Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.
• Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.
• Document pipeline designs, data flow diagrams, and operational support procedures.
• 
  

Required Skills:

• 4–8 years of hands-on experience in Python for backend or data engineering projects.
• Strong understanding and working experience with GCP cloud services (especially Dataflow, BigQuery, Cloud Functions, Cloud Composer, etc.).
• Solid understanding of data pipeline architecture, data integration, and transformation techniques.
• Experience in working with version control systems like GitHub and knowledge of CI/CD practices.
• Strong experience in SQL with at least one enterprise database (SQL Server, Oracle, PostgreSQL, etc.).

About Us

Alfred Capital - Alfred Capital is a next-generation on-chain proprietary quantitative trading technology provider, pioneering fully autonomous algorithmic systems that reshape trading and capital allocation in decentralized finance. 

As a sister company of Deqode — a 400+ person blockchain innovation powerhouse — we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.

What We Build

• Alpha Discovery via On‑Chain Intelligence — Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.
• DeFi-Native Execution Agents — Automated systems that execute trades across decentralized platforms.
• ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
• High-Throughput Systems — Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response
• Data-Driven MEV Analysis & Strategy — We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethically—powering strategies that interact deeply with the mechanics of block production and inclusion.

Evaluation Process

• HR Discussion – A brief conversation to understand your motivation and alignment with the role.
• Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
• Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
• Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
• Final Interview – A concluding round to explore your background, interests, and team fit in depth.
• Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.

Job Description : Blockchain Data & ML Engineer

As a Blockchain Data & ML Engineer, you’ll work on ingesting and modelling on-chain behaviour, building scalable data pipelines, and designing systems that support intelligent, autonomous market interaction.

What You’ll Work On

• Build and maintain ETL pipelines for ingesting and processing blockchain data.
• Assist in designing, training, and validating machine learning models for prediction and anomaly detection.
• Evaluate model performance, tune hyperparameters, and document experimental results.
• Develop monitoring tools to track model accuracy, data drift, and system health.
• Collaborate with infrastructure and execution teams to integrate ML components into production systems.
• Design and maintain databases and storage systems to efficiently manage large-scale datasets.

Ideal Traits

• Strong in data structures, algorithms, and core CS fundamentals.
• Proficiency in any programming language
• Familiarity with backend systems, APIs, and database design, along with a basic    understanding of machine learning and blockchain fundamentals.
• Curiosity about how blockchain systems and crypto markets work under the hood.
• Self-motivated, eager to experiment and learn in a dynamic environment.

Bonus Points For

• Hands-on experience with pandas, numpy, scikit-learn, or PyTorch.
• Side projects involving automated ML workflows, ETL pipelines, or crypto protocols.
• Participation in hackathons or open-source contributions.

What You’ll Gain

• Cutting-Edge Tech Stack: You'll work on modern infrastructure and stay up to date with the latest trends in technology.
• Idea-Driven Culture: We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.
• Ownership & Autonomy: You’ll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.
• Impact-Focused: Your work won’t be buried under bureaucracy. You’ll see it go live and make a difference in days, not quarters

What We Value:

• Craftsmanship over shortcuts: We appreciate engineers who take the time to understand the problem deeply and build durable solutions—not just quick fixes.
• Depth over haste: If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.
• Invested mindset: We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.
• Curiosity with follow-through: We admire those who take the time to explore and validate new ideas, not just skim the surface.

Compensation:

• INR 6 - 12 LPA
• Performance Bonuses: Linked to contribution, delivery, and impact.

Location: Bangalore – Hebbal – 5 Days - WFO

Type:  Contract – 6 Months to start with, extendable

Experience Required: 5+ years in Data Analysis, with ERP migration experience

Key Responsibilities:

• Analyze and map data from SAP to JD Edwards structures.
• Define data transformation rules and business logic.
• Assist with data extraction, cleansing, and enrichment.
• Collaborate with technical teams to design and execute ETL processes.
• Perform data validation and reconciliation before and after migration.
• Work closely with business stakeholders to understand master and transactional data requirements.
• Support the creation of reports to validate data accuracy in JDE.
• Document data mapping, cleansing rules, and transformation processes.
• Participate in testing cycles and assist with UAT data validation.

Required Skills and Qualifications:

• Strong experience in SAP ERP data models (FI, MM, SD, etc.).
• Knowledge of JD Edwards EnterpriseOne data structure is a plus.
• Proficiency in Excel, SQL, and data profiling tools.
• Experience in data migration tools like SAP BODS, Talend, or Informatica.
• Strong analytical, problem-solving, and documentation skills.
• Excellent communication and collaboration skills.
• ERP migration project experience is essential.

About Us

Alfred Capital - Alfred Capital is a next-generation on-chain proprietary quantitative trading technology provider, pioneering fully autonomous algorithmic systems that reshape trading and capital allocation in decentralized finance. 

As a sister company of Deqode — a 400+ person blockchain innovation powerhouse — we operate at the cutting edge of quant research, distributed infrastructure, and high-frequency execution.

What We Build

• Alpha Discovery via On‑Chain Intelligence — Developing trading signals using blockchain data, CEX/DEX markets, and protocol mechanics.
• DeFi-Native Execution Agents — Automated systems that execute trades across decentralized platforms.
• ML-Augmented Infrastructure — Machine learning pipelines for real-time prediction, execution heuristics, and anomaly detection.
• High-Throughput Systems — Resilient, low-latency engines that operate 24/7 across EVM and non-EVM chains tuned for high-frequency trading (HFT) and real-time response
• Data-Driven MEV Analysis & Strategy — We analyze mempools, order flow, and validator behaviors to identify and capture MEV opportunities ethically—powering strategies that interact deeply with the mechanics of block production and inclusion.

Evaluation Process

• HR Discussion – A brief conversation to understand your motivation and alignment with the role.
• Initial Technical Interview – A quick round focused on fundamentals and problem-solving approach.
• Take-Home Assignment – Assesses research ability, learning agility, and structured thinking.
• Assignment Presentation – Deep-dive into your solution, design choices, and technical reasoning.
• Final Interview – A concluding round to explore your background, interests, and team fit in depth.
• Optional Interview – In specific cases, an additional round may be scheduled to clarify certain aspects or conduct further assessment before making a final decision.

Blockchain Data & ML Engineer

As a Blockchain Data & ML Engineer, you’ll work on ingesting and modeling on-chain behavior, building scalable data pipelines, and designing systems that support intelligent, autonomous market interaction.

What You’ll Work On

• Build and maintain ETL pipelines for ingesting and processing blockchain data.
• Assist in designing, training, and validating machine learning models for prediction and anomaly detection.
• Evaluate model performance, tune hyperparameters, and document experimental results.
• Develop monitoring tools to track model accuracy, data drift, and system health.
• Collaborate with infrastructure and execution teams to integrate ML components into production systems.
• Design and maintain databases and storage systems to efficiently manage large-scale datasets.

Ideal Traits

• Strong in data structures, algorithms, and core CS fundamentals.
• Proficiency in any programming language
• Curiosity about how blockchain systems and crypto markets work under the hood.
• Self-motivated, eager to experiment and learn in a dynamic environment.

Bonus Points For

• Hands-on experience with pandas, numpy, scikit-learn, or PyTorch.
• Side projects involving automated ML workflows, ETL pipelines, or crypto protocols.
• Participation in hackathons or open-source contributions.

What You’ll Gain

• Cutting-Edge Tech Stack: You'll work on modern infrastructure and stay up to date with the latest trends in technology.
• Idea-Driven Culture: We welcome and encourage fresh ideas. Your input is valued, and you're empowered to make an impact from day one.
• Ownership & Autonomy: You’ll have end-to-end ownership of projects. We trust our team and give them the freedom to make meaningful decisions.
• Impact-Focused: Your work won’t be buried under bureaucracy. You’ll see it go live and make a difference in days, not quarters

What We Value:

• Craftsmanship over shortcuts: We appreciate engineers who take the time to understand the problem deeply and build durable solutions—not just quick fixes.
• Depth over haste: If you're the kind of person who enjoys going one level deeper to really "get" how something works, you'll thrive here.
• Invested mindset: We're looking for people who don't just punch tickets, but care about the long-term success of the systems they build.
• Curiosity with follow-through: We admire those who take the time to explore and validate new ideas, not just skim the surface.

Compensation:

• INR 6 - 12 LPA
• Performance Bonuses: Linked to contribution, delivery, and impact.

Job Title : Solution Architect – Denodo

Experience : 10+ Years

Location : Remote / Work from Home

Notice Period : Immediate joiners preferred

Job Overview :

We are looking for an experienced Solution Architect – Denodo to lead the design and implementation of data virtualization solutions. In this role, you will work closely with cross-functional teams to ensure our data architecture aligns with strategic business goals. The ideal candidate will bring deep expertise in Denodo, strong technical leadership, and a passion for driving data-driven decisions.

Mandatory Skills : Denodo, Data Virtualization, Data Architecture, SQL, Data Modeling, ETL, Data Integration, Performance Optimization, Communication Skills.

Key Responsibilities :

• Architect and design scalable data virtualization solutions using Denodo.
• Collaborate with business analysts and engineering teams to understand requirements and define technical specifications.
• Ensure adherence to best practices in data governance, performance, and security.
• Integrate Denodo with diverse data sources and optimize system performance.
• Mentor and train team members on Denodo platform capabilities.
• Lead tool evaluations and recommend suitable data integration technologies.
• Stay updated with emerging trends in data virtualization and integration.

Required Qualifications :

• Bachelor’s degree in Computer Science, IT, or a related field.
• 10+ Years of experience in data architecture and integration.
• Proven expertise in Denodo and data virtualization frameworks.
• Strong proficiency in SQL and data modeling.
• Hands-on experience with ETL processes and data integration tools.
• Excellent communication, presentation, and stakeholder management skills.
• Ability to lead technical discussions and influence architectural decisions.
• Denodo or data architecture certifications are a strong plus.

Primary skill set: QA Automation, Python, BDD, SQL 

As Senior Data Quality Engineer you will:

• Evaluate product functionality and create test strategies and test cases to assess product quality.
• Work closely with the on-shore and the offshore team.
• Work on multiple reports validation against the databases by running medium to complex SQL queries.
• Better understanding of Automation Objects and Integrations across various platforms/applications etc.
• Individual contributor exploring opportunities to improve performance and suggest/articulate the areas of improvements importance/advantages to management.
• Integrate with SCM infrastructure to establish a continuous build and test cycle using CICD tools.
• Comfortable working on Linux/Windows environment(s) and Hybrid infrastructure models hosted on Cloud platforms.
• Establish processes and tools set to maintain automation scripts and generate regular test reports.
• Peer review to provide feedback and to make sure the test scripts are flaw-less.

Core/Must have skills:

• Excellent understanding and hands on experience in ETL/DWH testing preferably DataBricks paired with Python experience.
• Hands on experience SQL (Analytical Functions and complex queries) along with knowledge of using SQL client utilities effectively.
• Clear & crisp communication and commitment towards deliverables
• Experience on BigData Testing will be an added advantage.
• Knowledge on Spark and Scala, Hive/Impala, Python will be an added advantage.

Good to have skills:

• Test automation using BDD/Cucumber / TestNG combined with strong hands-on experience with Java with Selenium. Especially working experience in WebDriver.IO
• Ability to effectively articulate technical challenges and solutions
• Work experience in qTest, Jira, WebDriver.IO

Responsibilities

·        Design and architect data virtualization solutions using Denodo.

·        Collaborate with business analysts and data engineers to understand data requirements and translate them into technical specifications.

·        Implement best practices for data governance and security within Denodo environments.

·        Lead the integration of Denodo with various data sources, ensuring performance optimization.

·        Conduct training sessions and provide guidance to technical teams on Denodo capabilities.

·        Participate in the evaluation and selection of data technologies and tools.

·        Stay current with industry trends in data integration and virtualization.

Requirements

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

·        10+ years of experience in data architecture, with a focus on Denodo solutions.

·        Strong knowledge of data virtualization principles and practices.

·        Experience with SQL and data modeling techniques.

·        Familiarity with ETL processes and data integration tools.

·        Excellent communication and presentation skills.

·        Ability to lead technical discussions and provide strategic insights.

·        Certifications related to Denodo or data architecture are a plus

Role: Data Engineer (14+ years of experience)

Location: Whitefield, Bangalore

Mode of Work: Hybrid (3 days from office)

Notice period: Immediate/ Serving with 30days left

Location: Candidate should be based out of Bangalore as one round has to be taken F2F

Job Summary:

Role and Responsibilities

● Design and implement scalable data pipelines for ingesting, transforming, and loading data from various tools and sources.

● Design data models to support data analysis and reporting.

● Automate data engineering tasks using scripting languages and tools.

● Collaborate with engineers, process managers, data scientists to understand their needs and design solutions.

● Act as a bridge between the engineering and the business team in all areas related to Data.

● Automate monitoring and alerting mechanism on data pipelines, products and Dashboards and troubleshoot any issues. On call requirements.

● SQL creation and optimization - including modularization and optimization which might need views, table creation in the sources etc.

● Defining best practices for data validation and automating as much as possible; aligning with the enterprise standards

● QA environment data management - e.g Test Data Management etc

Qualifications

● 14+ years of experience as a Data engineer or related role.

● Experience with Agile engineering practices.

● Strong experience in writing queries for RDBMS, cloud-based data warehousing solutions like Snowflake and Redshift.

● Experience with SQL and NoSQL databases.

● Ability to work independently or as part of a team.

● Experience with cloud platforms, preferably AWS.

● Strong experience with data warehousing and data lake technologies (Snowflake)

● Expertise in data modelling

● Experience with ETL/LT tools and methodologies .

● 5+ years of experience in application development including Python, SQL, Scala, or Java

● Experience working on real-time Data Streaming and Data Streaming platform.

NOTE: IT IS MANDATORY TO GIVE ONE TECHNICHAL ROUND FACE TO FACE.

Role: Automation Tester – Data Engineering

Experience: 6+ years

Work Mode: Hybrid (2–3 days onsite/week)

Locations: Gurgaon

Notice Period: Immediate Joiners Preferred

Mandatory Skills:

• Hands-on automation testing experience in Data Engineering or Data Warehousing
• Proficiency in Docker
• Experience working on any Cloud platform (AWS, Azure, or GCP)
• Experience in ETL Testing is a must
• Automation testing using Pytest or Scalatest
• Strong SQL skills and data validation techniques
• Familiarity with data processing tools such as ETL, Hadoop, Spark, Hive
• Sound knowledge of SDLC and Agile methodologies
• Ability to write efficient, clean, and maintainable test scripts
• Strong problem-solving, debugging, and communication skills

Good to Have:

• Exposure to additional test frameworks like Selenium, TestNG, or JUnit

Key Responsibilities:

• Develop, execute, and maintain automation scripts for data pipelines
• Perform comprehensive data validation and quality assurance
• Collaborate with data engineers, developers, and stakeholders
• Troubleshoot issues and improve test reliability
• Ensure consistent testing standards across development cycles

Job Title: SAP BODS Developer

• Experience: 7–10 Years
• Location: Remote (India-based candidates only)
• Employment Type: Permanent (Full-Time)
• Salary Range: ₹20 – ₹25 LPA (Fixed CTC)

Required Skills & Experience:

- 7–10 years of hands-on experience as a SAP BODS Developer.

- Strong experience in S/4HANA implementation or upgrade projects with large-scale data migration.

- Proficient in ETL development, job optimization, and performance tuning using SAP BODS.

- Solid understanding of SAP data structures (FI, MM, SD, etc.) from a technical perspective.

- Skilled in SQL scripting, error resolution, and job monitoring.

- Comfortable working independently in a remote, spec-driven development environment.

🚀 We Are Hiring: Data Engineer | 4+ Years Experience 🚀

Job description

🔍 Job Title: Data Engineer

📍 Location: Ahmedabad

🚀 Work Mode: On-Site Opportunity

📅 Experience: 4+ Years

🕒 Employment Type: Full-Time

⏱️ Availability : Immediate Joiner Preferred

Join Our Team as a Data Engineer

We are seeking a passionate and experienced Data Engineer to be a part of our dynamic and forward-thinking team in Ahmedabad. This is an exciting opportunity for someone who thrives on transforming raw data into powerful insights and building scalable, high-performance data infrastructure.

As a Data Engineer, you will work closely with data scientists, analysts, and cross-functional teams to design robust data pipelines, optimize data systems, and enable data-driven decision-making across the organization.

Your Key Responsibilities

Architect, build, and maintain scalable and reliable data pipelines from diverse data sources.

Design effective data storage, retrieval mechanisms, and data models to support analytics and business needs.

Implement data validation, transformation, and quality monitoring processes.

Collaborate with cross-functional teams to deliver impactful, data-driven solutions.

Proactively identify bottlenecks and optimize existing workflows and processes.

Provide guidance and mentorship to junior engineers in the team.

Skills & Expertise We’re Looking For

3+ years of hands-on experience in Data Engineering or related roles.

Strong expertise in Python and data pipeline design.

Experience working with Big Data tools like Hadoop, Spark, Hive.

Proficiency with SQL, NoSQL databases, and data warehousing solutions.

Solid experience in cloud platforms - Azure

Familiar with distributed computing, data modeling, and performance tuning.

Understanding of DevOps, Power Automate, and Microsoft Fabric is a plus.

Strong analytical thinking, collaboration skills, Excellent Communication Skill and the ability to work independently or as part of a team.

Qualifications

Bachelor’s degree in Computer Science, Data Science, or a related field.

About the Company

Hypersonix.ai is disrupting the e-commerce space with AI, ML and advanced decision capabilities to drive real-time business insights. Hypersonix.ai has been built ground up with new age technology to simplify the consumption of data for our customers in various industry verticals. Hypersonix.ai is seeking a well-rounded, hands-on product leader to help lead product management of key capabilities and features.

About the Role

We are looking for talented and driven Data Engineers at various levels to work with customers to build the data warehouse, analytical dashboards and ML capabilities as per customer needs.

Roles and Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements; should write complex queries in an optimized way
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
• Run ad-hoc analysis utilizing the data pipeline to provide actionable insights
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions
• Work with analytics and data scientist team members and assist them in building and optimizing our product into an innovative industry leader

Requirements

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Experience supporting and working with cross-functional teams in a dynamic environment
• We are looking for a candidate with 7+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Information Technology or completed MCA.

Position Summary:

As a CRM ETL Developer, you will be responsible for the analysis, transformation, and integration of data from legacy and external systems into CRM application. This includes developing ETL/ELT workflows, ensuring data quality through cleansing and survivorship rules, and supporting daily production loads. You will work in an Agile environment and play a vital role in building scalable, high-quality data integration solutions.

Key Responsibilities:

• Analyze data from legacy and external systems; develop ETL/ELT pipelines to ingest and process data.
• Cleanse, transform, and apply survivorship rules before loading into the CRM platform.
• Monitor, support, and troubleshoot production data loads (Tier 1 & Tier 2 support).
• Contribute to solution design, development, integration, and scaling of new/existing systems.
• Promote and implement best practices in data integration, performance tuning, and Agile development.
• Lead or support design reviews, technical documentation, and mentoring of junior developers.
• Collaborate with business analysts, QA, and cross-functional teams to resolve defects and clarify requirements.
• Deliver working solutions via quick POCs or prototypes for business scenarios.

Technical Skills:

• ETL/ELT Tools: 5+ years of hands-on experience in ETL processes using Siebel EIM.
• Programming & Databases: Strong SQL & PL/SQL development; experience with Oracle and/or SQL Server.
• Data Integration: Proven experience in integrating disparate data systems.
• Data Modelling: Good understanding of relational, dimensional modelling, and data warehousing concepts.
• Performance Tuning: Skilled in application and SQL query performance optimization.
• CRM Systems: Familiarity with Siebel CRM, Siebel Data Model, and Oracle SOA Suite is a plus.
• DevOps & Agile: Strong knowledge of DevOps pipelines and Agile methodologies.
• Documentation: Ability to write clear technical design documents and test cases.

Soft Skills & Attributes:

• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal abilities.
• Experience working with cross-functional, globally distributed teams.
• Proactive mindset and eagerness to learn new technologies.
• Detail-oriented with a focus on reliability and accuracy.

Preferred Qualifications:

• Bachelor’s degree in Computer Science, Information Systems, or a related field.
• Experience in Tier 1 & Tier 2 application support roles.
• Exposure to real-time data integration systems is an advantage.

Job Title: Tableau BI Developer

Years of Experience: 4-8Yrs

12$ per hour fte engagement

8 hrs. working

Required Skills & Experience:

✅ 4–8 years of experience in BI development and data engineering

✅ Expertise in BigQuery and/or Snowflake for large-scale data processing

✅ Strong SQL skills with experience writing complex analytical queries

✅ Experience in creating dashboards in tools like Power BI, Looker, or similar

✅ Hands-on experience with ETL/ELT tools and data pipeline orchestration

✅ Familiarity with cloud platforms (GCP, AWS, or Azure)

✅ Strong understanding of data modeling, data warehousing, and analytics best practices

✅ Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders

Company name: PulseData labs Pvt Ltd (captive Unit for URUS, USA)

About URUS

We are the URUS family (US), a global leader in products and services for Agritech.

SENIOR DATA ENGINEER

This role is responsible for the design, development, and maintenance of data integration and reporting solutions. The ideal candidate will possess expertise in Databricks and strong skills in SQL Server, SSIS and SSRS, and experience with other modern data engineering tools such as Azure Data Factory. This position requires a proactive and results-oriented individual with a passion for data and a strong understanding of data warehousing principles.

Responsibilities

Data Integration

• Design, develop, and maintain robust and efficient ETL pipelines and processes on Databricks.
• Troubleshoot and resolve Databricks pipeline errors and performance issues.
• Maintain legacy SSIS packages for ETL processes.
• Troubleshoot and resolve SSIS package errors and performance issues.
• Optimize data flow performance and minimize data latency.
• Implement data quality checks and validations within ETL processes.

Databricks Development

• Develop and maintain Databricks pipelines and datasets using Python, Spark and SQL.
• Migrate legacy SSIS packages to Databricks pipelines.
• Optimize Databricks jobs for performance and cost-effectiveness.
• Integrate Databricks with other data sources and systems.
• Participate in the design and implementation of data lake architectures.

Data Warehousing

• Participate in the design and implementation of data warehousing solutions.
• Support data quality initiatives and implement data cleansing procedures.

Reporting and Analytics

• Collaborate with business users to understand data requirements for department driven reporting needs.
• Maintain existing library of complex SSRS reports, dashboards, and visualizations.
• Troubleshoot and resolve SSRS report issues, including performance bottlenecks and data inconsistencies.

Collaboration and Communication

• Comfortable in entrepreneurial, self-starting, and fast-paced environment, working both independently and with our highly skilled teams.
• Collaborate effectively with business users, data analysts, and other IT teams.
• Communicate technical information clearly and concisely, both verbally and in writing.
• Document all development work and procedures thoroughly.

Continuous Growth

• Keep abreast of the latest advancements in data integration, reporting, and data engineering technologies.
• Continuously improve skills and knowledge through training and self-learning.

This job description reflects managements assignment of essential functions; it does not prescribe or restrict the tasks that may be assigned.

Requirements

• Bachelor's degree in computer science, Information Systems, or a related field.
• 7+ years of experience in data integration and reporting.
• Extensive experience with Databricks, including Python, Spark, and Delta Lake.
• Strong proficiency in SQL Server, including T-SQL, stored procedures, and functions.
• Experience with SSIS (SQL Server Integration Services) development and maintenance.
• Experience with SSRS (SQL Server Reporting Services) report design and development.
• Experience with data warehousing concepts and best practices.
• Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable.
• Strong analytical and problem-solving skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and as part of a team.
• Experience with Agile methodologies.

Job Title : Cognos BI Developer

Experience : 6+ Years

Location : Bangalore / Hyderabad (Hybrid)

Notice Period : Immediate Joiners Preferred (Candidates serving notice with 10–15 days left can be considered)

Interview Mode : Virtual

Job Description :

We are seeking an experienced Cognos BI Developer with strong data modeling, dashboarding, and reporting expertise to join our growing team. The ideal candidate should have a solid background in business intelligence, data visualization, and performance analysis, and be comfortable working in a hybrid setup from Bangalore or Hyderabad.

Mandatory Skills :

Cognos BI, Framework Manager, Cognos Dashboarding, SQL, Data Modeling, Report Development (charts, lists, cross tabs, maps), ETL Concepts, KPIs, Drill-through, Macros, Prompts, Filters, Calculations.

Key Responsibilities :

1. Understand business requirements in the BI context and design data models using Framework Manager to transform raw data into meaningful insights.
2. Develop interactive dashboards and reports using Cognos Dashboard.
3. Identify and define KPIs and create reports to monitor them effectively.
4. Analyze data and present actionable insights to support business decision-making.
5. Translate business requirements into technical specifications and determine timelines for execution.
6. Design and develop models in Framework Manager, publish packages, manage security, and create reports based on these packages.
7. Develop various types of reports, including charts, lists, cross tabs, and maps, and design dashboards combining multiple reports.
8. Implement reports using macros, prompts, filters, and calculations.
9. Perform data warehouse development activities and ensure seamless data flow.
10. Write and optimize SQL queries to investigate data and resolve performance issues.
11. Utilize Cognos features such as master-detail reports, drill-throughs, bookmarks, and page sets.
12. Analyze and improve ETL processes to enhance data integration.
13. Apply technical enhancements to existing BI systems to improve their performance and usability.
14. Possess solid understanding of database fundamentals, including relational and multidimensional database design.
15. Hands-on experience with Cognos Data Modules (data modeling) and dashboarding.

We are looking for a talented MERN Developer with expertise in MongoDB/MySQL, Kubernetes, Python, ETL, Hadoop, and Spark. The ideal candidate will design, develop, and optimize scalable applications while ensuring efficient source code management and implementing Non-Functional Requirements (NFRs).

Key Responsibilities:

• Develop and maintain robust applications using MERN Stack (MongoDB, Express.js, React.js, Node.js).
• Design efficient database architectures (MongoDB/MySQL) for scalable data handling.
• Implement and manage Kubernetes-based deployment strategies for containerized applications.
• Ensure compliance with Non-Functional Requirements (NFRs), including source code management, development tools, and security best practices.
• Develop and integrate Python-based functionalities for data processing and automation.
• Work with ETL pipelines for smooth data transformations.
• Leverage Hadoop and Spark for processing and optimizing large-scale data operations.
• Collaborate with solution architects, DevOps teams, and data engineers to enhance system performance.
• Conduct code reviews, troubleshooting, and performance optimization to ensure seamless application functionality.

Required Skills & Qualifications:

• Proficiency in MERN Stack (MongoDB, Express.js, React.js, Node.js).
• Strong understanding of database technologies (MongoDB/MySQL).
• Experience working with Kubernetes for container orchestration.
• Hands-on knowledge of Non-Functional Requirements (NFRs) in application development.
• Expertise in Python, ETL pipelines, and big data technologies (Hadoop, Spark).
• Strong problem-solving and debugging skills.
• Knowledge of microservices architecture and cloud computing frameworks.

Preferred Qualifications:

• Certifications in cloud computing, Kubernetes, or database management.
• Experience in DevOps, CI/CD automation, and infrastructure management.
• Understanding of security best practices in application development.

What We’re Looking For:

• Strong experience in Python (3+ years).
• Hands-on experience with any database (SQL or NoSQL).
• Experience with frameworks like Flask, FastAPI, or Django.
• Knowledge of ORMs, API development, and unit testing.
• Familiarity with Git and Agile methodologies.

• Strong Snowflake Cloud database experience Database developer.
• Knowledge of Spark and Databricks is desirable.
• Strong technical background in data modelling, database design and optimization for data warehouses, specifically on column oriented MPP architecture 
• Familiar with technologies relevant to data lakes such as Snowflake
• Candidate should have strong ETL & database design/modelling skills. 
• Experience creating data pipelines
• Strong SQL skills and debugging knowledge and Performance Tuning exp.
• Experience with Databricks / Azure is add on /good to have . 
• Experience working with global teams and global application environments
• Strong understanding of SDLC methodologies with track record of high quality deliverables and data quality, including detailed technical design documentation desired

The role reports to the Head of Customer Support, and the position holder is part of the Product Team.

Main objectives of the role

·    Focus on customer satisfaction with the product and provide the first-line support.

Specialisation

·    Customer Support

·    SaaS

·    FMCG/CPG

Key processes in the role

·    Build extensive knowledge of our SAAS product platform and support our customers in using it.

·    Supporting end customers with complex questions.

·    Providing extended and elaborated answers on business & “how to” questions from customers.

·    Participating in ongoing education for Customer Support Managers.

·    Collaborate and communicate with the Development teams, Product Support and Customers

Requirements

·    Bachelor’s degree in business, IT, Engineering or Economics.

·    4-8 years of experience in a similar role in the IT Industry.

·    Solid knowledge of SaaS (Software as a Service).

·    Multitasking is your second nature, and you have a proactive + Customer First mindset.

·    3+ years of experience providing support for ERP systems, preferably SAP.

·    Familiarity with ERP/SAP integration processes and data migration.

·    Understanding of ERP/SAP functionalities, modules and data structures.

·    Understanding of technicalities like Integrations (API’s, ETL, ELT), analysing logs, identifying errors in logs, etc.

·    Experience in looking into code, changing configuration, and analysing if it's a development bug or a product bug.

·    Profound understanding of the support processes.

·    Should know where to route tickets further and know how to manage customer escalations.

·    Outstanding customer service skills.

·    Knowledge of Fast-Moving Consumer Goods (FMCG)/ Consumer Packaged Goods (CPG) industry/domain is preferable.

Excellent verbal and written communication skills in the English language