Data Engineer - ETL/Python

Position: Data Engineer (5+ Years Experience)

Role Overview :

We are seeking an experienced Data Engineer to design, build, and maintain scalable data platforms that support analytics, reporting, and real-time data processing. The ideal candidate will have strong expertise in distributed data systems, data pipelines, and modern data engineering best practices.

Key Responsibilities :

- Design, develop, and maintain robust ETL/ELT data pipelines

- Build and manage data lakes, data warehouses, and streaming data solutions

- Work with distributed systems and big data technologies such as Kafka, ClickHouse, Pinot, MinIO, Hadoop, and Spark

- Integrate data from multiple structured and unstructured data sources

- Implement data modeling, data governance, and data quality frameworks

- Ensure high performance, scalability, and reliability of data platforms

- Support DevOps activities, including CI/CD pipelines, automation, and system monitoring

- Ensure data security, privacy, and regulatory compliance

- Collaborate with cross-functional teams including product, analytics, and engineering

Required Qualifications :

- 5+ years of experience in Data Engineering or related roles

- Strong programming skills in Python, Java, or Scala

- Hands-on experience with distributed data processing systems (Kafka, Spark, etc.)

- Strong proficiency in SQL across relational and NoSQL databases

- Experience with ETL/ELT frameworks and data pipeline orchestration

- Familiarity with Docker, Git, Jenkins, and Azure DevOps

- Solid understanding of data warehousing concepts and architectures

- Strong problem-solving and analytical skills

Preferred Qualifications :

- Experience in BFSI / Fintech domains

- Knowledge of data governance, security, and regulatory requirements

- Relevant cloud, big data, or data engineering certifications