Data Engineer

Were Hiring: Data Engineers

(Multiple Openings | 3 - 20 Yrs Exp | Multiple Locations | Multiple Levels)

Locations: Bengaluru | Pune | Mumbai | Hyderabad | Chennai | Noida | Gurugram | Chandigarh | Delhi

*Specific location and work model may vary by positions and roles.
Industry: Fortune 500 Client Projects
Employment Type: Permanent | Contract

About the Role

We are looking for Data Engineers across multiple experience levels (3 - 20 years) to design, develop, and maintain scalable data solutions and enterprise data platforms.

The ideal candidates will have experience in Data Engineering, ETL/ELT, data pipelines, databases, cloud platforms, and data integration.

Candidates with experience in Python, Java, Kafka, AWS, SQL, and distributed data systems will be considered for relevant positions.

Open Positions & Designations

• Data Engineer / Software Engineer 3 - 5 Yrs
• Senior Data Engineer 5 - 10 Yrs
• Lead Data Engineer 8 - 12 Yrs
• Data Engineering Specialist / Architect 10 - 15 Yrs
• Technical Architect / Engineering Lead 12 - 18 Yrs
• Data Engineering Manager / Senior Leader 15 – 20 Yrs

Key Responsibilities

Professional | 3–5 Yrs

• Develop and maintain data pipelines and ETL/ELT processes.
• Work with structured and transactional data from multiple sources.
• Develop data solutions using Python, Java, and SQL.
• Work with relational databases and data platforms.
• Support data integration and data migration activities.
• Perform data validation, troubleshooting, and performance optimization.
• Follow coding, testing, and documentation standards.

Senior | 5–10 Yrs

• Design and develop scalable data pipelines and data integration solutions.
• Work with batch and real-time data processing.
• Develop solutions using Python, Java, SQL, and Kafka.
• Work with cloud data platforms, particularly AWS.
• Optimize database queries, data processing, and pipeline performance.
• Implement CI/CD and automation for data engineering solutions.
• Mentor junior engineers and participate in technical design discussions.

Lead / Architecture | 10–20 Yrs

• Lead the design of enterprise data platforms and data pipelines.
• Define scalable and reliable data engineering architectures.
• Drive data modernization, migration, and cloud initiatives.
• Lead implementation of real-time and batch data processing solutions.
• Establish engineering standards and best practices.
• Provide technical guidance and mentor data engineering teams.
• Collaborate with architects, business stakeholders, DevOps, and technology teams.

Skills & Technologies

Core Data Engineering

• Data Engineering
• ETL / ELT
• Data Pipelines
• Data Integration
• Data Migration
• Batch & Real-Time Processing

Programming

• Python
• Java
• SQL

Streaming & Big Data

• Apache Kafka
• Kafka Connect
• Kafka Streams / Apache Flink
• CDC

Databases

• PostgreSQL
• MySQL
• SQL Server
• Oracle

Cloud & DevOps

• AWS
• Docker
• Kubernetes
• Terraform / CloudFormation
• CI/CD
• Git / GitHub Actions

Monitoring

• DataDog
• New Relic
• Splunk

Qualifications

• 3–20 years of experience in Data Engineering / Software Engineering, depending on the position.
• Strong experience in data pipelines, ETL/ELT, and data integration.
• Good knowledge of SQL and relational databases.
• Hands-on experience with Python and/or Java.
• Experience with cloud platforms such as AWS.
• Exposure to Kafka or other streaming technologies for relevant roles.
• Experience with data migration, performance optimization, and troubleshooting.
• Strong analytical and problem-solving skills.
• Good communication and collaboration skills.
• For senior roles: experience in technical leadership, architecture, mentoring, and stakeholder management.