AWS Senior Data Engineer

Tata Consultancy Services

Bengaluru

On-site

INR 2,800,000 - 4,200,000

Full time

13 days ago
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Job summary

Tata Consultancy Services is seeking an experienced Senior Data Engineer (AWS) to design, build, and optimize cloud-based data platforms. The role requires 8+ years of data engineering work and deep expertise in AWS data services, Snowflake, and Python.

Locations include Chennai, Bangalore, Hyderabad, Pune, Kolkata, and Delhi NCR. You will design scalable ETL/ELT pipelines, automate Airflow workflows, and collaborate with cross-functional teams to deliver data-driven business solutions, while

Qualifications

  • 8+ years of experience in data engineering or a closely related field.
  • Strong expertise in AWS data services and cloud-based data 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 workflows using MWAA/Airflow.
  • Implement high-performance data processing using EMR and Redshift.
  • Collaborate with cross-functional teams to deliver data-driven solutions.
  • Ensure data quality, governance, and operational excellence.

Skills

AWS Lambda
MWAA
S3
Glue
Redshift
EMR
Snowflake
Python

Tools

Amazon MWAA (Apache Airflow)
Amazon Redshift
Amazon EMR

Job description

Hiring: Senior Data Engineer (AWS)

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
  • AWS Lambda
  • Amazon MWAA (Apache Airflow)
  • Amazon S3
  • AWS Glue
  • Amazon Redshift
  • Amazon EMR
  • Snowflake
  • Python
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
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