AWS Senior Data Engineers

Greetings from TCS!!!
TCS presents an excellent opportunity for AWS Senior Data Engineers

Role- AWS Senior Data Engineers

Desired Experience Range- 8-12 Years

Location- Chennai, Bangalore, Kolkata, Pune

Job Description -

We are looking for an experienced AWS Senior Data Engineer with strong expertise in designing and building scalable cloud-based data platforms on AWS. The ideal candidate should have hands-on experience with AWS Lambda, Managed Airflow (MWAA), AWS S3, AWS Glue, Amazon Redshift, Amazon EMR, Snowflake, and Python. The role involves developing high-performance ETL/ELT pipelines, implementing data lake solutions, optimizing big data workloads, and enabling analytics across enterprise platforms.

Roles & Responsibilities-

• Design and implement distributed data processing on AWS EMR using PySpark for batch/stream workloads. 
• Build robust, scalable ETL/ELT pipelines integrating diverse data sources (files, RDBMS, APIs, streaming). 
• Optimize Spark jobs (partitioning, caching, broadcast joins), and tune EMR clusters (instance types, autoscaling, bootstrap actions). 
• Implement data lake patterns on S3 with appropriate file formats (Parquet/ORC), schema evolution, and table management. 
• Orchestrate workflows using AWS Step Functions, Airflow, or EMR managed workflow, and automate CI/CD. 
• Ensure cost governance (spot instances, right-sizing, scaling policies) and observability (CloudWatch, Spark metrics). 
• Enforce security & compliance (IAM, KMS, encryption at rest/in transit, VPC, SGs, Glue Catalog access controls). 
• Collaborate with analytics teams to expose curated datasets to Redshift, Athena, Glue, or downstream BI tools. 
• Troubleshoot performance bottlenecks and production issues; implement resiliency patterns and SLAs. 
• Document architecture, standards, runbooks; mentor junior engineers.

Mandatory Skills

• AWS Lambda
• Managed Airflow (MWAA)
• AWS S3
• AWS Glue
• Amazon Redshift
• Amazon EMR
• Snowflake
• Python
• PySpark
• SQL
• ETL / ELT Development
• Data Lake Architecture
• AWS Step Functions
• CI/CD Pipelines