AWS Data Engineer

Job Description

TCS Walk-in at Bangalore- Yeshwanthpur:

Date- 25-Jul-26
JD

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as Glue, Lambda, EMR, Step Functions, Kinesis, and Data Pipeline.
• Build and optimize data models for analytics and reporting using Redshift, Athena, and other data warehouse/lakehouse technologies.
• Implement and manage data lakes on S3 with appropriate partitioning, security, and governance.
• Collaborate with data scientists, analysts, and business teams to understand requirements and deliver robust data solutions.
• Develop CI/CD pipelines for data workflows using Code Pipeline, Code Build, or similar tools.
• Optimize data processing costs, performance, and storage using AWS best practices.
• Ensure data quality, lineage, and metadata management using Glue Data Catalog or other tools.
• Monitor, troubleshoot, and improve existing data workflows and cloud infrastructure.
• Implement IAM-based security policies, encryption, and compliance standards.
• Work with DevOps and platform engineering teams to build scalable, secure environments.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field.
• Strong experience with AWS services used for data engineering (Glue, S3, Lambda, EMR, Redshift, Athena, Kinesis).
• Proficiency in Python and SQL.
• Hands-on experience with distributed data processing frameworks (Spark, Py Spark, Hadoop).
• Experience building data lakes, data warehouses, and lakehouse architectures.
• Strong understanding of ETL/ELT design patterns and data modeling (Star/Snowflake).
• Knowledge of CI/CD, infrastructure-as-code (Terraform/CloudFormation), and Git.
• Familiarity with data governance, security, and compliance frameworks.
• Strong problem‑solving, communication, and collaboration skills.

Desired Candidate Profile
Qualifications :

BACHELOR OF ENGINEERING: