Returnship - AWS Data Engineer

Cognizant; Chennai District; On-site; INR 600,000 - 900,000; Part time

Job summary

Cognizant is offering a returnship opportunity in Chennai for candidates with hands-on Python and PySpark experience. The role focuses on building scalable data pipelines, ETL workflows, and Spark optimizations within a collaborative, cross-functional team.

Ideal candidates have strong Python skills, PySpark background, and solid SQL knowledge, with a keen eye for data quality and governance as part of the data engineering lifecycle.

Qualifications

• Strong Python programming skills with focus on data processing
• Hands-on PySpark experience for large-scale data workloads
• Proficiency in SQL and query optimization for performance

Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and PySpark.
• Build and manage ETL/ELT workflows for structured and unstructured data.
• Develop and optimize Spark applications for large datasets.

Skills

Python

PySpark

SQL

Job description

Returnship -

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Python and PySpark.


• Build and manage ETL/ELT workflows for processing structured and unstructured data.


• Develop and optimize Spark applications to handle large-scale datasets efficiently.


• Implement cloud-native data solutions using AWS services.


• Design and maintain Data Lakes on AWS.


• Perform data ingestion from multiple sources including APIs, databases, files, and streaming platforms.


• Monitor, troubleshoot, and optimize data workflows for performance and reliability.


• Ensure data quality, integrity, security, and governance standards are followed.


• Implement automation and orchestration of data workflows using scheduling tools.


• Collaborate with cross-functional teams for requirement gathering and solution design.


• Conduct code reviews, unit testing, and performance tuning.


• Prepare technical documentation and deployment procedures.


• Support production incidents and perform root cause analysis.

Mandatory Skills

• Strong expertise in Python


• Hands-on experience with PySpark


• Proficiency in SQL and query optimization