AWS Senior Data Engineer

Tata Consultancy Services; Bengaluru; On-site; INR 4,000,000 - 6,000,000; Full time

Job summary

Tata Consultancy Services is seeking a Senior Data Engineer with 8+ years of experience to design, develop, and optimize cloud-based data platforms and analytics solutions in a fast-paced environment.

You will design scalable ETL/ELT pipelines on AWS, build data lake and data warehouse solutions, and automate workflows using MWAA/Airflow. Strong Snowflake and Python skills are preferred, along with experience in large-scale data migrations.

Qualifications

• 8+ years of experience in Data Engineering or equivalent roles.
• Strong hands-on expertise with AWS data services and cloud platforms.
• Hands-on experience with Snowflake and Python.

Responsibilities

• Design and build scalable ETL/ELT pipelines on AWS.
• Develop and optimize data lake and data warehouse solutions.
• Automate data workflows using MWAA/Airflow and modern schedulers.
• Implement high-performance data processing solutions using EMR and Redshift.
• Collaborate with cross-functional teams to deliver data-driven business solutions.
• Ensure data quality, governance, and operational excellence.

Skills

Amazon MWAA

Tools

Snowflake

Python

EMR

Redshift

Job description

We are looking for an experienced Senior Data Engineer with 8+ years of experience in designing, developing, and optimizing cloud-based data platforms and analytics solutions.

Locations: Chennai | Bangalore | Hyderabad | Pune | Kolkata | Delhi NCR

Required Skills

• Amazon MWAA (Apache Airflow)

Key Responsibilities

• Design and build scalable ETL/ELT pipelines on AWS
• Develop and optimize data lake and data warehouse solutions
• Automate workflows using MWAA/Airflow
• Implement high-performance data processing solutions using EMR and Redshift
• Collaborate with cross-functional teams to deliver data-driven business solutions
• Ensure data quality, governance, and operational excellence

Preferred Experience

• 8+ years in Data Engineering
• Strong expertise in AWS Data Services
• Hands-on experience with Snowflake and Python
• Experience in large-scale data migration and modernization projects