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.
- Valuable communication and collaboration skills.
- For senior roles: experience in technical leadership, architecture, mentoring, and stakeholder management.

📌 Data Engineer (Pune)
🏢 Hatchtra Innotech
📍 Pune