Role & responsibilities

Hiring: AWS Sr Data Engineer (Spark/EMR/Glue/Iceberg)

Location: All India

Experience: 6-12 Years

Employment Type: Full-Time

Preferred candidate profile

Key Skills

AWS EMR

AWS Glue

Apache Spark (PySpark/Scala)

Apache Iceberg

Amazon S3

Data Lake Architecture

ETL/ELT Development

AWS Lambda

Athena

Redshift

Python

SQL

Airflow

CI/CD & DevOps

Responsibilities

Design and develop scalable data pipelines using Spark, EMR, and Glue.

Build and manage Data Lake solutions with Apache Iceberg on AWS.

Optimize ETL/ELT workflows for performance and reliability.

Integrate data from multiple sources into AWS analytics platforms.

Implement data quality, governance, and security best practices.

Collaborate with architects, analysts,



and business stakeholders.

Requirements

Solid hands-on experience with AWS EMR, Glue, Spark, and Iceberg.

Proficiency in Python and SQL.

Experience with large-scale data processing and Data Lake implementations.

Knowledge of AWS services including S3, Athena, Lambda, and Redshift.

Understanding of data modeling, partitioning, and performance tuning.

Interested candidates can share their updated resume.

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📌 AWS Sr Data Engineer (Spark/EMR/Glue/Iceberg) (India)
🏢 Tata Consultancy Services
📍 India