Skills Required: Python, ETL, AWS, Airflow/DBT, Pyspark , Spark.

Roles Responsibilities:

Mandatory skills (8+ Years of experience in ETL development with 4+ Years on AWS Pyspark scripting)

- Experience deploying and running AWS-based data solutions using services or products such as S3, Lambda, SNS, Cloud Step Functions.

- Person should be strong inPyspark

- Hands on and working knowledge in Python packages like NumPy, Pandas,Etc

- Experience deploying and running AWS-based data solutions using services or products such as S3, Lambda, SNS, Cloud Step Functions. Sound knowledge in AWS services is must.

- Person should work as Individual contributor

- Good to have familiar with metadata management, data lineage, and principles of data governance.





Good to have:

- Experience to process large set of data transformations both semi and structured data

- Experienceto builddata lake & configuration on delta tables.

- Good experiencewith computing & cost optimization.

- Understanding the environment and use case and ready to build holistic Data Integration frame works.

- Good experiencein MWAA (airflow orchestration)

Soft skill:

- Having positive communicationto interact with IT-Stake holders and Business.

- Understand the pain point to deliver

📌 Data Engineer (ETL) (Chennai)
🏢 Relevantz Technology Services
📍 Chennai