24+ Amazon S3 Jobs in Hyderabad | Amazon S3 Job openings in Hyderabad

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

JOB DETAILS:

* Job Title: Lead II - Software Engineering - AWS, Apache Spark (PySpark/Scala), Apache Kafka

* Industry: Global digital transformation solutions provider

* Salary: Best in Industry

* Experience: 5-8 years

* Location: Hyderabad

Job Summary

We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The role involves working with large-scale batch and real-time data processing systems, collaborating with cross-functional teams, and ensuring data reliability, security, and performance across the data lifecycle.

Key Responsibilities

ETL Pipeline Development & Optimization

• Design, develop, and maintain complex end-to-end ETL pipelines for large-scale data ingestion and processing.
• Optimize data pipelines for performance, scalability, fault tolerance, and reliability.

Big Data Processing

• Develop and optimize batch and real-time data processing solutions using Apache Spark (PySpark/Scala) and Apache Kafka.
• Ensure fault-tolerant, scalable, and high-performance data processing systems.

Cloud Infrastructure Development

• Build and manage scalable, cloud-native data infrastructure on AWS.
• Design resilient and cost-efficient data pipelines adaptable to varying data volume and formats.

Real-Time & Batch Data Integration

• Enable seamless ingestion and processing of real-time streaming and batch data sources (e.g., AWS MSK).
• Ensure consistency, data quality, and a unified view across multiple data sources and formats.

Data Analysis & Insights

• Partner with business teams and data scientists to understand data requirements.
• Perform in-depth data analysis to identify trends, patterns, and anomalies.
• Deliver high-quality datasets and present actionable insights to stakeholders.

CI/CD & Automation

• Implement and maintain CI/CD pipelines using Jenkins or similar tools.
• Automate testing, deployment, and monitoring to ensure smooth production releases.

Data Security & Compliance

• Collaborate with security teams to ensure compliance with organizational and regulatory standards (e.g., GDPR, HIPAA).
• Implement data governance practices ensuring data integrity, security, and traceability.

Troubleshooting & Performance Tuning

• Identify and resolve performance bottlenecks in data pipelines.
• Apply best practices for monitoring, tuning, and optimizing data ingestion and storage.

Collaboration & Cross-Functional Work

• Work closely with engineers, data scientists, product managers, and business stakeholders.
• Participate in agile ceremonies, sprint planning, and architectural discussions.

Skills & Qualifications

Mandatory (Must-Have) Skills

1. AWS Expertise

• Hands-on experience with AWS Big Data services such as EMR, Managed Apache Airflow, Glue, S3, DMS, MSK, and EC2.
• Strong understanding of cloud-native data architectures.

1. Big Data Technologies

• Proficiency in PySpark or Scala Spark and SQL for large-scale data transformation and analysis.
• Experience with Apache Spark and Apache Kafka in production environments.

1. Data Frameworks

• Strong knowledge of Spark DataFrames and Datasets.

1. ETL Pipeline Development

• Proven experience in building scalable and reliable ETL pipelines for both batch and real-time data processing.

1. Database Modeling & Data Warehousing

• Expertise in designing scalable data models for OLAP and OLTP systems.

1. Data Analysis & Insights

• Ability to perform complex data analysis and extract actionable business insights.
• Strong analytical and problem-solving skills with a data-driven mindset.

1. CI/CD & Automation

• Basic to intermediate experience with CI/CD pipelines using Jenkins or similar tools.
• Familiarity with automated testing and deployment workflows.

Good-to-Have (Preferred) Skills

• Knowledge of Java for data processing applications.
• Experience with NoSQL databases (e.g., DynamoDB, Cassandra, MongoDB).
• Familiarity with data governance frameworks and compliance tooling.
• Experience with monitoring and observability tools such as AWS CloudWatch, Splunk, or Dynatrace.
• Exposure to cost optimization strategies for large-scale cloud data platforms.

Skills: big data, scala spark, apache spark, ETL pipeline development

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Hyderabad

Note: If a candidate is a short joiner, based in Hyderabad, and fits within the approved budget, we will proceed with an offer

F2F Interview: 14th Feb 2026

3 days in office, Hybrid model.

JOB DETAILS:

* Job Title: Lead I - (Web Api, C# .Net, .Net Core, Aws (Mandatory)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 6 -9 years

* Location: Hyderabad

Job Description

Role Overview

We are looking for a highly skilled Senior .NET Developer who has strong experience in building scalable, high‑performance backend services using .NET Core and C#, with hands‑on expertise in AWS cloud services. The ideal candidate should be capable of working in an Agile environment, collaborating with cross‑functional teams, and contributing to both design and development. Experience with React and Datadog monitoring tools will be an added advantage.

Key Responsibilities

• Design, develop, and maintain backend services and APIs using .NET Core and C#.
• Work with AWS services (Lambda, S3, ECS/EKS, API Gateway, RDS, etc.) to build cloud‑native applications.
• Collaborate with architects and senior engineers on solution design and implementation.
• Write clean, scalable, and well‑documented code.
• Use Postman to build and test RESTful APIs.
• Participate in code reviews and provide technical guidance to junior developers.
• Troubleshoot and optimize application performance.
• Work closely with QA, DevOps, and Product teams in an Agile setup.
• (Optional) Contribute to frontend development using React.
• (Optional) Use Datadog for monitoring, logging, and performance metrics.

Required Skills & Experience

• 6+ years of experience in backend development.
• Strong proficiency in C# and .NET Core.
• Experience building RESTful services and microservices.
• Hands‑on experience with AWS cloud platform.
• Solid understanding of API testing using Postman.
• Knowledge of relational databases (SQL Server, PostgreSQL, etc.).
• Strong problem‑solving and debugging skills.
• Experience working in Agile/Scrum teams.

Good to Have

• Experience with React for frontend development.
• Exposure to Datadog for monitoring and logging.
• Knowledge of CI/CD tools (GitHub Actions, Jenkins, AWS CodePipeline, etc.).
• Containerization experience (Docker, Kubernetes).

Soft Skills

• Strong communication and collaboration abilities.
• Ability to work in a fast‑paced environment.
• Ownership mindset with a focus on delivering high‑quality solutions.

Skills

.NET Core, C#, AWS, Postman

Notice period - 0 to 15 days only

Location: Hyderabad

Virtual Interview: 7th Feb 2026

First round will be Virtual

2nd round will be F2F

JOB DETAILS:

* Job Title: Tester III - Software Testing (Automation testing + Python + AWS)

* Industry: Global digital transformation solutions provide

* Salary: Best in Industry

* Experience: 4 -10 years

* Location: Hyderabad

Job Description

Responsibilities:

• Develop, maintain, and execute automation test scripts using Python.
• Build reliable and reusable test automation frameworks for web and cloud-based applications.
• Work with AWS cloud services for test execution, environment management, and integration needs.
• Perform functional, regression, and integration testing as part of the QA lifecycle.
• Analyze test failures, identify root causes, raise defects, and collaborate with development teams.
• Participate in requirement review, test planning, and strategy discussions.
• Contribute to CI/CD setup and integration of automation suites.

Required Experience:

• Strong hands-on experience in Automation Testing.
• Proficiency in Python for automation scripting and framework development.
• Understanding and practical exposure to AWS services (Lambda, EC2, S3, CloudWatch, or similar).
• Good knowledge of QA methodologies, SDLC/STLC, and defect management.
• Familiarity with automation tools/frameworks (e.g., Selenium, PyTest).
• Experience with Git or other version control systems.

Good to Have:

• API testing experience (REST, Postman, REST Assured).
• Knowledge of Docker/Kubernetes.
• Exposure to Agile/Scrum environment.

Skills: Automation testing, Python, Java, ETL, AWS

REVIEW CRITERIA:

MANDATORY:

• Strong Hands-On AWS Cloud Engineering / DevOps Profile
• Mandatory (Experience 1): Must have 12+ years of experience in AWS Cloud Engineering / Cloud Operations / Application Support
• Mandatory (Experience 2): Must have strong hands-on experience supporting AWS production environments (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Mandatory (Infrastructure as a code): Must have hands-on Infrastructure as Code experience using Terraform in production environments
• Mandatory (AWS Networking): Strong understanding of AWS networking and connectivity (VPC design, routing, NAT, load balancers, hybrid connectivity basics)
• Mandatory (Cost Optimization): Exposure to cost optimization and usage tracking in AWS environments
• Mandatory (Core Skills): Experience handling monitoring, alerts, incident management, and root cause analysis
• Mandatory (Soft Skills): Strong communication skills and stakeholder coordination skills

ROLE & RESPONSIBILITIES:

We are looking for a hands-on AWS Cloud Engineer to support day-to-day cloud operations, automation, and reliability of AWS environments. This role works closely with the Cloud Operations Lead, DevOps, Security, and Application teams to ensure stable, secure, and cost-effective cloud platforms.

KEY RESPONSIBILITIES:

• Operate and support AWS production environments across multiple accounts
• Manage infrastructure using Terraform and support CI/CD pipelines
• Support Amazon EKS clusters, upgrades, scaling, and troubleshooting
• Build and manage Docker images and push to Amazon ECR
• Monitor systems using CloudWatch and third-party tools; respond to incidents
• Support AWS networking (VPCs, NAT, Transit Gateway, VPN/DX)
• Assist with cost optimization, tagging, and governance standards
• Automate operational tasks using Python, Lambda, and Systems Manager

IDEAL CANDIDATE:

• Strong hands-on AWS experience (EC2, VPC, IAM, S3, ALB, CloudWatch)
• Experience with Terraform and Git-based workflows
• Hands-on experience with Kubernetes / EKS
• Experience with CI/CD tools (GitHub Actions, Jenkins, etc.)
• Scripting experience in Python or Bash
• Understanding of monitoring, incident management, and cloud security basics

NICE TO HAVE:

• AWS Associate-level certifications
• Experience with Karpenter, Prometheus, New Relic
• Exposure to FinOps and cost optimization practices

ROLES AND RESPONSIBILITIES:

You will be responsible for architecting, implementing, and optimizing Dremio-based data Lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

IDEAL CANDIDATE:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

PREFERRED:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

Core Responsibilities:

• The MLE will design, build, test, and deploy scalable machine learning systems, optimizing model accuracy and efficiency
• Model Development: Algorithms and architectures span traditional statistical methods to deep learning along with employing LLMs in modern frameworks.
• Data Preparation: Prepare, cleanse, and transform data for model training and evaluation.
• Algorithm Implementation: Implement and optimize machine learning algorithms and statistical models.
• System Integration: Integrate models into existing systems and workflows.
• Model Deployment: Deploy models to production environments and monitor performance.
• Collaboration: Work closely with data scientists, software engineers, and other stakeholders.
• Continuous Improvement: Identify areas for improvement in model performance and systems.

Skills:

• Programming and Software Engineering: Knowledge of software engineering best practices (version control, testing, CI/CD).
• Data Engineering: Ability to handle data pipelines, data cleaning, and feature engineering. Proficiency in SQL for data manipulation + Kafka, Chaossearch logs, etc for troubleshooting; Other tech touch points are ScyllaDB (like BigTable), OpenSearch, Neo4J graph
• Model Deployment and Monitoring: MLOps Experience in deploying ML models to production environments.
• Knowledge of model monitoring and performance evaluation.

Required experience:

• Amazon SageMaker: Deep understanding of SageMaker's capabilities for building, training, and deploying ML models; understanding of the Sagemaker pipeline with ability to analyze gaps and recommend/implement improvements
• AWS Cloud Infrastructure: Familiarity with S3, EC2, Lambda and using these services in ML workflows
• AWS data: Redshift, Glue
• Containerization and Orchestration: Understanding of Docker and Kubernetes, and their implementation within AWS (EKS, ECS)

Skills: Aws, Aws Cloud, Amazon Redshift, Eks

Must-Haves

Amazon SageMaker, AWS Cloud Infrastructure (S3, EC2, Lambda), Docker and Kubernetes (EKS, ECS), SQL, AWS data (Redshift, Glue)

Skills : Machine Learning, MLOps, AWS Cloud, Redshift OR Glue, Kubernetes, Sage maker

******

Notice period - 0 to 15 days only 

Location : Pune & Hyderabad only

We are looking for a highly skilled Sr. Big Data Engineer with 3-5 years of experience in

building large-scale data pipelines, real-time streaming solutions, and batch/stream

processing systems. The ideal candidate should be proficient in Spark, Kafka, Python, and

AWS Big Data services, with hands-on experience in implementing CDC (Change Data

Capture) pipelines and integrating multiple data sources and sinks.

Responsibilities

• Design, develop, and optimize batch and streaming data pipelines using Apache Spark and Python.
• Build and maintain real-time data ingestion pipelines leveraging Kafka and AWS Kinesis.
• Implement CDC (Change Data Capture) pipelines using Kafka Connect, Debezium or similar frameworks.
• Integrate data from multiple sources and sinks (databases, APIs, message queues, file systems, cloud storage).
• Work with AWS Big Data ecosystem: Glue, EMR, Kinesis, Athena, S3, Lambda, Step Functions.
• Ensure pipeline scalability, reliability, and performance tuning of Spark jobs and EMR clusters.
• Develop data transformation and ETL workflows in AWS Glue and manage schema evolution.
• Collaborate with data scientists, analysts, and product teams to deliver reliable and high-quality data solutions.
• Implement monitoring, logging, and alerting for critical data pipelines.
• Follow best practices for data security, compliance, and cost optimization in cloud environments.

Required Skills & Experience

• Programming: Strong proficiency in Python (PySpark, data frameworks, automation).
• Big Data Processing: Hands-on experience with Apache Spark (batch & streaming).
• Messaging & Streaming: Proficient in Kafka (brokers, topics, partitions, consumer groups) and AWS Kinesis.
• CDC Pipelines: Experience with Debezium / Kafka Connect / custom CDC frameworks.
• AWS Services: AWS Glue, EMR, S3, Athena, Lambda, IAM, CloudWatch.
• ETL/ELT Workflows: Strong knowledge of data ingestion, transformation, partitioning, schema management.
• Databases: Experience with relational databases (MySQL, Postgres, Oracle) and NoSQL (MongoDB, DynamoDB, Cassandra).
• Data Formats: JSON, Parquet, Avro, ORC, Delta/Iceberg/Hudi.
• Version Control & CI/CD: Git, GitHub/GitLab, Jenkins, or CodePipeline.
• Monitoring/Logging: CloudWatch, Prometheus, ELK/Opensearch.
• Containers & Orchestration (nice-to-have): Docker, Kubernetes, Airflow/Step
• Functions for workflow orchestration.

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
• Experience in large-scale data lake / lake house architectures.
• Knowledge of data warehousing concepts and query optimisation.
• Familiarity with data governance, lineage, and cataloging tools (Glue Data Catalog, Apache Atlas).
• Exposure to ML/AI data pipelines is a plus.

Tools & Technologies (must-have exposure)

• Big Data & Processing: Apache Spark, PySpark, AWS EMR, AWS Glue
• Streaming & Messaging: Apache Kafka, Kafka Connect, Debezium, AWS Kinesis
• Cloud & Storage: AWS (S3, Athena, Lambda, IAM, CloudWatch)
• Programming & Scripting: Python, SQL, Bash
• Orchestration: Airflow / Step Functions
• Version Control & CI/CD: Git, Jenkins/CodePipeline
• Data Formats: Parquet, Avro, ORC, JSON, Delta, Iceberg, Hudi

Job Summary:

Deqode is looking for a highly motivated and experienced Python + AWS Developer to join our growing technology team. This role demands hands-on experience in backend development, cloud infrastructure (AWS), containerization, automation, and client communication. The ideal candidate should be a self-starter with a strong technical foundation and a passion for delivering high-quality, scalable solutions in a client-facing environment.

Key Responsibilities:

• Design, develop, and deploy backend services and APIs using Python.
• Build and maintain scalable infrastructure on AWS (EC2, S3, Lambda, RDS, etc.).
• Automate deployments and infrastructure with Terraform and Jenkins/GitHub Actions.
• Implement containerized environments using Docker and manage orchestration via Kubernetes.
• Write automation and scripting solutions in Bash/Shell to streamline operations.
• Work with relational databases like MySQL and SQL, including query optimization.
• Collaborate directly with clients to understand requirements and provide technical solutions.
• Ensure system reliability, performance, and scalability across environments.

Required Skills:

• 3.5+ years of hands-on experience in Python development.
• Strong expertise in AWS services such as EC2, Lambda, S3, RDS, IAM, CloudWatch.
• Good understanding of Terraform or other Infrastructure as Code tools.
• Proficient with Docker and container orchestration using Kubernetes.
• Experience with CI/CD tools like Jenkins or GitHub Actions.
• Strong command of SQL/MySQL and scripting with Bash/Shell.
• Experience working with external clients or in client-facing roles.

Preferred Qualifications:

• AWS Certification (e.g., AWS Certified Developer or DevOps Engineer).
• Familiarity with Agile/Scrum methodologies.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Job Summary:

We are looking for a skilled and motivated Python AWS Engineer to join our team. The ideal candidate will have strong experience in backend development using Python, cloud infrastructure on AWS, and building serverless or microservices-based architectures. You will work closely with cross-functional teams to design, develop, deploy, and maintain scalable and secure applications in the cloud.

Key Responsibilities:

• Develop and maintain backend applications using Python and frameworks like Django or Flask
• Design and implement serverless solutions using AWS Lambda, API Gateway, and other AWS services
• Develop data processing pipelines using services such as AWS Glue, Step Functions, S3, DynamoDB, and RDS
• Write clean, efficient, and testable code following best practices
• Implement CI/CD pipelines using tools like CodePipeline, GitHub Actions, or Jenkins
• Monitor and optimize system performance and troubleshoot production issues
• Collaborate with DevOps and front-end teams to integrate APIs and cloud-native services
• Maintain and improve application security and compliance with industry standards

Required Skills:

• Strong programming skills in Python
• Solid understanding of AWS cloud services (Lambda, S3, EC2, DynamoDB, RDS, IAM, API Gateway, CloudWatch, etc.)
• Experience with infrastructure as code (e.g., CloudFormation, Terraform, or AWS CDK)
• Good understanding of RESTful API design and microservices architecture
• Hands-on experience with CI/CD, Git, and version control systems
• Familiarity with containerization (Docker, ECS, or EKS) is a plus
• Strong problem-solving and communication skills

Preferred Qualifications:

• Experience with PySpark, Pandas, or data engineering tools
• Working knowledge of Django, Flask, or other Python frameworks
• AWS Certification (e.g., AWS Certified Developer – Associate) is a plus

Educational Qualification:

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field

Job Title : Full Stack Drupal Developer

Experience : Minimum 5 Years

Location : Hyderabad / Bangalore / Mumbai / Pune / Chennai / Gurgaon (Hybrid or On-site)

Notice Period : Immediate to 15 Days Preferred

Job Summary :

We are seeking a skilled and experienced Full Stack Drupal Developer with a strong background in Drupal (version 8 and above) for both front-end and back-end development. The ideal candidate will have hands-on experience in AWS deployments, Drupal theming and module development, and a solid understanding of JavaScript, PHP, and core Drupal architecture. Acquia certifications and contributions to the Drupal community are highly desirable.

Mandatory Skills :

Drupal 8+, PHP, JavaScript, Custom Module & Theming Development, AWS (EC2, Lightsail, S3, CloudFront), Acquia Certified, Drupal Community Contributions.

Key Responsibilities :

• Develop and maintain full-stack Drupal applications, including both front-end (theming) and back-end (custom module) development.
• Deploy and manage Drupal applications on AWS using services like EC2, Lightsail, S3, and CloudFront.
• Work with the Drupal theming layer and module layer to build custom and reusable components.
• Write efficient and scalable PHP code integrated with JavaScript and core JS concepts.
• Collaborate with UI/UX teams to ensure high-quality user experiences.
• Optimize performance and ensure high availability of applications in cloud environments.
• Contribute to the Drupal community and utilize contributed modules effectively.
• Follow best practices for code versioning, documentation, and CI/CD deployment processes.

Required Skills & Qualifications :

• Minimum 5 Years of hands-on experience in Drupal development (Drupal 8 onwards).
• Strong experience in front-end (theming, JavaScript, HTML, CSS) and back-end (custom module development, PHP).
• Experience with Drupal deployment on AWS, including services such as EC2, Lightsail, S3, and CloudFront.
• Proficiency in JavaScript, core JS concepts, and PHP coding.
• Acquia certifications such as:
• Drupal Developer Certification
• Site Management Certification
• Acquia Certified Developer (preferred)
• Experience with contributed modules and active participation in the Drupal community is a plus.
• Familiarity with version control (Git), Agile methodologies, and modern DevOps tools.

Preferred Certifications :

• Acquia Certified Developer.
• Acquia Site Management Certification.
• Any relevant AWS certifications are a bonus.

We are seeking a skilled and motivated Software Engineer with over 3 years of experience in designing and developing web-based applications using Node.js.

Key Responsibilities

• Design, develop, and maintain web-based applications using Node.js.
• Build scalable, high-performance RESTful APIs using Express.js or Restify frameworks.
• Develop and maintain robust SQL database systems, leveraging Sequelize ORM.
• Ensure responsiveness of applications across various devices and platforms.
• Collaborate with cross-functional teams during the product development lifecycle, including prototyping, hardening, and testing phases.
• Work with real-time communication technologies and ensure seamless integration.
• Learn and adapt to alternative technologies as needed to meet project requirements.

Required Skills & Experience

• 3+ years of experience in web application development using Node.js.
• Proficiency with frameworks such as Express.js or Restify.
• Strong expertise in SQL databases and experience with Sequelize ORM.
• In-depth understanding of JavaScript, browser technologies, and real-time communication.
• Hands-on experience in developing responsive web applications.
• Experience with React Native (a plus).
• Proficiency in Java.
• Familiarity with product development lifecycle, including prototyping, testing, and deployment.

Additional Skills & Experience

• Experience with NoSQL databases such as MongoDB or Cassandra.
• Knowledge of internationalization (i18n) and latest UI/UX design trends.
• Familiarity with JavaScript libraries/frameworks like ReactJS or VueJS.
• Experience integrating payment gateways for various countries.
• Strong communication skills and ability to facilitate group discussions effectively.
• Eagerness to contribute to product functionality and user experience designs.

Education Requirements

• Bachelor's or Master's degree in Computer Science or a related field.

BACKEND DEVELOPER JOB DESCRIPTION

Job Title: Backend Developer - Node.js & MongoDB

Location: Hyderabad

Employment Type: Full-Time

Experience Required: 3–5 Years

About Us

Inncircles – THE INNGINEERING COMPANY

We are a forward-thinking construction-tech innovator building CRM solutions that manage crores of records with precision and speed. Our mission is to revolutionize the construction domain through scalable engineering and robust backend systems. Join us to solve complex challenges and shape the future of data-driven construction tech!

Job Description

We are hiring a Backend Developer with 3–5 years of hands-on experience in Node.js and MongoDB to design, optimize, and maintain high-performance backend systems. You will work on large-scale data processing, external integrations, and scalable architectures while ensuring best coding practices and efficient database design.

Key Responsibilities

Backend Development & Optimization

1. Develop and maintain RESTful/GraphQL APIs using Node.js, adhering to best coding practices and reusable code structures.
2. Write optimized MongoDB queries for collections with crores of records, ensuring efficient data retrieval and storage.
3. Design MongoDB collections, implement indexing strategies, and optimize replica sets for performance and reliability.
4. Scalability & Performance
5. Implement horizontal and vertical scaling strategies to handle growing data and traffic.
6. Optimize database performance through indexing, aggregation pipelines, and query tuning.
7. External Integrations & Debugging
8. Integrate third-party APIs (payment gateways, analytics tools, etc.) and SDKs seamlessly into backend systems.
9. Debug and resolve complex issues in production environments with a systematic, data-driven approach.

AWS & Cloud Services

Work with AWS services like Lambda (serverless), SQS (message queuing), S3 (storage), and EC2 (compute) to build resilient and scalable solutions.

Collaboration & Best Practices

Collaborate with frontend teams to ensure smooth API integrations and data flow.

Document code, write unit/integration tests, and enforce coding standards.

Mandatory Requirements

3–5 years of professional experience in Node.js and MongoDB.

Expertise in:

1. MongoDB: Collection design, indexing, aggregation pipelines, replica sets, and sharding.
2. Node.js: Asynchronous programming, middleware, and API development (Express.js/Fastify).
3. Query Optimization: Writing efficient queries for large datasets (crores of records).
4. Strong debugging skills and experience in resolving production issues.
5. Hands-on experience with external integrations (APIs, SDKs, webhooks).
6. Knowledge of horizontal/vertical scaling techniques and performance tuning.
7. Familiarity with AWS services (Lambda, SQS, S3, EC2).

Preferred Skills

1. Experience with microservices architecture.
2. Knowledge of CI/CD pipelines (GitLab CI, Jenkins).
3. Understanding of Docker, Kubernetes, or serverless frameworks.
4. Exposure to monitoring tools like Prometheus, Grafana, or New Relic.

Why Join Inncircles?

Solve large-scale data challenges in the construction domain.

Work on cutting-edge cloud-native backend systems.

Competitive salary, flexible work culture, and growth opportunities.

Apply Now:

If you’re passionate about building scalable backend systems and thrive in a data-heavy environment, share your resume and a GitHub/portfolio link showcasing projects with Node.js, MongoDB, and AWS integrations.

Inncircles – THE INNGINEERING COMPANY

📍 Hyderabad | 🚀 Building Tomorrow’s Tech Today

Qualifications:*

1. 10+ years of experience, with 3+ years as Database Architect or related role

2. Technical expertise in data schemas, Amazon Redshift, Amazon S3, and Data Lakes

3. Analytical skills in data warehouse design and business intelligence

4. Strong problem-solving and strategic thinking abilities

5. Excellent communication skills

6. Bachelor's degree in Computer Science or related field; Master's degree preferred

*Skills Required:*

1. Database architecture and design

2. Data warehousing and business intelligence

3. Cloud-based data infrastructure (Amazon Redshift, S3, Data Lakes)

4. Data governance and security

5. Analytical and problem-solving skills

6. Strategic thinking and communication

7. Collaboration and team management

Technical Skills:

• Ability to understand and translate business requirements into design.
• Proficient in AWS infrastructure components such as S3, IAM, VPC, EC2, and Redshift.
• Experience in creating ETL jobs using Python/PySpark.
• Proficiency in creating AWS Lambda functions for event-based jobs.
• Knowledge of automating ETL processes using AWS Step Functions.
• Competence in building data warehouses and loading data into them.

Responsibilities:

• Understand business requirements and translate them into design.
• Assess AWS infrastructure needs for development work.
• Develop ETL jobs using Python/PySpark to meet requirements.
• Implement AWS Lambda for event-based tasks.
• Automate ETL processes using AWS Step Functions.
• Build data warehouses and manage data loading.
• Engage with customers and stakeholders to articulate the benefits of proposed solutions and frameworks.

Skills

We are looking for a focussed, energetic and motivated Senior Java Developer. You must have sufficient experience in Java Development, Spring, Spring Boot, AWS and SQS, S3. You will be challenged with complex and robust product development.

As a Senior Java Developer, you will be the most senior developer within the company working alongside other Java Developers, the Engineering Manager, and the CTO.

Senior Java Developer requirements

Solid development experience using Java, Springboot, SQS, S3 and Microservices

Experience working in Swing Java framework

Revises, updates, refactors, and debugs code

Write clear, concise and efficient code and ensure it is fully tested

Service and develop features using Java with AWS, JUnit, SQL and Spring framework

You have a good knowledge of Cloud technologies (ideally AWS)

Participate in peer coding reviews and work in a collaborative, agile environment

Demonstrate technical knowledge and expertise with a clear understanding on the products' technical composition

Senior Java Developer responsibilities

7-9 yrs minimum work experience

Excellent analytical, troubleshooting, and communication skills

Excellent attention to detail and time-management skills

Serves as an expert on developed applications

Ability to adapt and learn new product/technology is key

Collaborates with internal teams to produce software design and architecture

Knowledge of Agile frameworks (i.e. Scrum) and has worked with Jira or Spira

Attend daily stand-up meetings alongside the Scrum Master

A self-starter, hardworking and committed individual

Work UK hours - ideally 9.00am - 6pm with the expectation to work out of ours when needed

Join our team

We're looking for an experienced and passionate Data Engineer to join our team. Our vision is to empower Genesys to leverage data to drive better customer and business outcomes. Our batch and streaming solutions turn vast amounts of data into useful insights. If you’re interested in working with the latest big data technologies, using industry leading BI analytics and visualization tools, and bringing the power of data to our customers’ fingertips then this position is for you!

Our ideal candidate thrives in a fast-paced environment, enjoys the challenge of highly complex business contexts (that are typically being defined in real-time), and, above all, is a passionate about data and analytics.

What you'll get to do

• Work in an agile development environment, constantly shipping and iterating.
• Develop high quality batch and streaming big data pipelines.
• Interface with our Data Consumers, gathering requirements, and delivering complete data solutions.
• Own the design, development, and maintenance of datasets that drive key business decisions.
• Support, monitor and maintain the data models
• Adopt and define the standards and best practices in data engineering including data integrity, performance optimization, validation, reliability, and documentation.
• Keep up-to-date with advances in big data technologies and run pilots to design the data architecture to scale with the increased data volume using cloud services.
• Triage many possible courses of action in a high-ambiguity environment, making use of both quantitative analysis and business judgment.

Your experience should include

• Bachelor’s degree in CS or related technical field.
• 5+ years of experience in data modelling, data development, and data warehousing.
• Experience working with Big Data technologies (Hadoop, Hive, Spark, Kafka, Kinesis).
• Experience with large scale data processing systems for both batch and streaming technologies (Hadoop, Spark, Kinesis, Flink).
• Experience in programming using Python, Java or Scala.
• Experience with data orchestration tools (Airflow, Oozie, Step Functions).
• Solid understanding of database technologies including NoSQL and SQL.
• Strong in SQL queries (experience with Snowflake Cloud Datawarehouse is a plus)
• Work experience in Talend is a plus
• Track record of delivering reliable data pipelines with solid test infrastructure, CICD, data quality checks, monitoring, and alerting.
• Strong organizational and multitasking skills with ability to balance competing priorities.
• Excellent communication (verbal and written) and interpersonal skills and an ability to effectively communicate with both business and technical teams.
• An ability to work in a fast-paced environment where continuous innovation is occurring, and ambiguity is the norm.

Good to have

• Experience with AWS big data technologies - S3, EMR, Kinesis, Redshift, Glue

• Collaborate with Dev, QA and Data Science teams on environment maintenance, monitoring (ELK, Prometheus or equivalent), deployments and diagnostics
• Administer a hybrid datacenter, including AWS and EC2 cloud assets
• Administer, automate and troubleshoot container based solutions deployed on AWS ECS
• Be able to troubleshoot problems and provide feedback to engineering on issues
• Automate deployment (Ansible, Python), build (Git, Maven. Make, or equivalent) and integration (Jenkins, Nexus) processes
• Learn and administer technologies such as ELK, Hadoop etc.
• A self-starter and enthusiasm to learn and pick up new technologies in a fast-paced environment.

Need to have

• Hands-on Experience in Cloud based DevOps
• Experience working in AWS (EC2, S3, CloudFront, ECR, ECS etc)
• Experience with any programming language.
• Experience using Ansible, Docker, Jenkins, Kubernetes
• Experience in Python.
• Should be very comfortable working in Linux/Unix environment.
• Exposure to Shell Scripting.
• Solid troubleshooting skills

About the Role

The Dremio India team owns the DataLake Engine along with Cloud Infrastructure and services that power it. With focus on next generation data analytics supporting modern table formats like Iceberg, Deltalake, and open source initiatives such as Apache Arrow, Project Nessie and hybrid-cloud infrastructure, this team provides various opportunities to learn, deliver, and grow in career. We are looking for technical leaders with passion and experience in architecting and delivering high-quality distributed systems at massive scale.

Responsibilities & ownership

• Lead end-to-end delivery and customer success of next-generation features related to scalability, reliability, robustness, usability, security, and performance of the product
• Lead and mentor others about concurrency, parallelization to deliver scalability, performance and resource optimization in a multithreaded and distributed environment
• Propose and promote strategic company-wide tech investments taking care of business goals, customer requirements, and industry standards
• Lead the team to solve complex, unknown and ambiguous problems, and customer issues cutting across team and module boundaries with technical expertise, and influence others
• Review and influence designs of other team members 
• Design and deliver architectures that run optimally on public clouds like GCP, AWS, and Azure
• Partner with other leaders to nurture innovation and engineering excellence in the team
• Drive priorities with others to facilitate timely accomplishments of business objectives
• Perform RCA of customer issues and drive investments to avoid similar issues in future
• Collaborate with Product Management, Support, and field teams to ensure that customers are successful with Dremio
• Proactively suggest learning opportunities about new technology and skills, and be a role model for constant learning and growth

Requirements

• B.S./M.S/Equivalent in Computer Science or a related technical field or equivalent experience
• Fluency in Java/C++ with 15+ years of experience developing production-level software
• Strong foundation in data structures, algorithms, multi-threaded and asynchronous programming models and their use in developing distributed and scalable systems
• 8+ years experience in developing complex and scalable distributed systems and delivering, deploying, and managing microservices successfully
• Subject Matter Expert in one or more of query processing or optimization, distributed systems, concurrency, micro service based architectures, data replication, networking, storage systems
• Experience in taking company-wide initiatives, convincing stakeholders, and delivering them
• Expert in solving complex, unknown and ambiguous problems spanning across teams and taking initiative in planning and delivering them with high quality
• Ability to anticipate and propose plan/design changes based on changing requirements 
• Passion for quality, zero downtime upgrades, availability, resiliency, and uptime of the platform
• Passion for learning and delivering using latest technologies
• Hands-on experience of working projects on AWS, Azure, and GCP 
• Experience with containers and Kubernetes for orchestration and container management in private and public clouds (AWS, Azure,  and GCP) 
• Understanding of distributed file systems such as  S3, ADLS or HDFS
• Excellent communication skills and affinity for collaboration and teamwork

Roles and Responsibilities
1. Ability to work on diverse backend stack such as Node JS, Java, Express JS
2. Ability to work on diverse frontend stack such as React JS, Angular 6/7/8/9, HTML5, CSS3

3. Ability to deliver quick POC’s using cutting edge technologies.

4. Preparing reports, manuals and other documentation on the status, operation and maintenance of software.

5. Design, develop, and unit test applications in accordance with established standards

6. Developing, refining, and tuning integrations between applications. Analysing and resolving technical and application problems.

7. Ability to debug application.

8. Should have complete knowledge on developing RESTful Services.

9. Should be able to also work in agile development methodology.
10. Work with designated JavaScript framework to design, develop, and debug web applications
11. Can work on Angular and Integrate backend services
12. Work with the team to manage, optimize, and customize multiple web applications
13. Manage end to end module lifecycle management of the product
14. Push and pull codes via Git repository

Competency Requirements

1. Experience in NodeJS, Java and development using AngularJS / ReactJS
2. Experience in front end frameworks such as Angular.js, React.js, Bootstrap, Foundation etc
3. Experience in client/server application development
4. Knowledge of agile development methodologies
5. Knowledge of unit testing theory
6. Knowledge of AWS cloud
7. Experience in Java, Python and Go will be added advantage

• Working directly with clients to understand requirements for a green field development
• Designing the technology and cloud infrastructure architecture to achieve the functional and nonfunctional requirements
• The product you will be working on needs to scale up to support millions of users an efficient micro service distributed architecture
• Solution needs to be easy to deploy and manage on multiple cloud providers (AWS, GCP or Azure)
• Mentoring, guiding and training the team on various technology, quality and security aspects
• Guiding the team to implement automated CI/CD processes
• Strong analytical, problem solving and data analysis
• Excellent communication, presentation and interpersonal skills are a must
• Micro service frameworks such as Java SpringBoot
• Design and implement automated unit and integration tests
• Writing scalable, robust, testable, efficient, and easily maintainable code
• Familiarity with most AWS Services - EC2, ECS, RDS, ECR, S3, SNS, SQS, and more
• Experience with Docker and Kubernetes
• Deploying and Scaling microservices to AWS
• Hands-on experience with AWS cloud platform in evaluation and cost estimation

• Should have good hands-on experience in Informatica MDM Customer 360, Data Integration(ETL) using PowerCenter, Data Quality.
• Must have strong skills in Data Analysis, Data Mapping for ETL processes, and Data Modeling.
• Experience with the SIF framework including real-time integration
• Should have experience in building C360 Insights using Informatica
• Should have good experience in creating performant design using Mapplets, Mappings, Workflows for Data Quality(cleansing), ETL.
• Should have experience in building different data warehouse architecture like Enterprise,
• Federated, and Multi-Tier architecture.
• Should have experience in configuring Informatica Data Director in reference to the Data
• Governance of users, IT Managers, and Data Stewards.
• Should have good knowledge in developing complex PL/SQL queries.
• Should have working experience on UNIX and shell scripting to run the Informatica workflows and to control the ETL flow.
• Should know about Informatica Server installation and knowledge on the Administration console.
• Working experience with Developer with Administration is added knowledge.
• Working experience in Amazon Web Services (AWS) is an added advantage. Particularly on AWS S3, Data pipeline, Lambda, Kinesis, DynamoDB, and EMR.
• Should be responsible for the creation of automated BI solutions, including requirements, design,development, testing, and deployment