Skills Required6 years(6 year) of professional software engineering mostly focused on the following:

- Developing ETL pipelines involving big data.

- Developing data processinganalytics applications primarily using PySpark.

- Experience of developing applications on cloud(AWS) mostly using services related to storage, compute, ETL, DWH, Analytics and streaming.

- Explicit understanding and ability to implement distributed storage, processing and scalable applications.

- Experience of working with SQL and NoSQL database.

- Ability to write and analyze SQL, HQL and other query languages for NoSQL databases.

- Proficiency is writing disitributed & scalable data processing code using PySpark, Python and related libraries.ValidationStart Date ValidatedJob DescriptionWhat you’ll do

- Develop low level design as per approved Tech Specification or equivalent inputs provided.





- Build and deliver technology deliverables as per Tech Specifications/low level design or equivalent inputs.

- Build and delivery technology deliverables compliant with functional requirements.

- Build and deliver technology deliverables in accordance with the best practices to ensure compliance with non-functional aspects like scalability, maintainability, performance etc.

- Process technology deliverables through full development lifecycle.

- Maintain and support existing solutions and technology frameworks.

- Attend regular scrum events of equivalent and provide update on the deliverables.

- Work independently with none or minimum supervision.

Skills: aws,data engineer,pyspark

📌 AEP Data Engineer (Chennai)
🏢 Commergence
📍 Chennai