AWS Senior Data Engineer

Tata Consultancy Services Limited; Bengaluru; On-site; INR 2,500,000 - 4,200,000; Full time

Job summary

Tata Consultancy Services Limited is seeking an AWS Senior Data Engineer to drive data architecture and ELT pipelines in a multi-cloud environment. You will leverage Snowflake, dbt, and Apache Airflow to deliver scalable data warehouses and data lakes across our client projects.

The role requires 8–12 years of experience, strong SQL skills, and deep AWS expertise. You will collaborate with analytics teams to translate business needs into robust data solutions and ensure governance and

Qualifications

• 8+ years of experience analyzing and modeling large, complex data using AWS.
• Minimum 3+ years with Snowflake as cloud data warehouse and lake.
• Designing ELT pipelines with dbt and Airflow, Snowflake as warehouse.
• Experience with ETL/ELT governance tools like FiveTran and Alation.
• Experience in AWS services: S3, Lambda, SNS, SQS, IAM.
• Strong SQL and data warehousing in various DB tech.
• Ability to present complex tech to senior management.
• Career history delivering high-volume data warehousing solutions.

Skills

AWS

Snowflake

dbt

Airflow

SQL

Python

ETL/ELT

Terraform

GitHub Actions

Tools

FiveTran

Alation

Job description

Role

AWS Senior Data Engineer

Required Technical Skill Set

AWS Lambda, Managed Airflow (MWAA),

AWS S3, AWS Glue, Amazon Redshift, Amazon EMR, Snowflake, Python

Desired Experience Range

8-12 yrs

Location of Requirement

Chennai, Bengaluru, Hyderabad

Desired Competencies

Must-Have

• 8+ years of experience of analyzing, integrating, modelling, and interpreting large volumes of complex data from multiple sources and technologies preferably using AWS Cloud Services.
• Minimum of 3+ years of working experience with Snowflake as a cloud Datawarehouse and data lake service.
• Obvious track record of designing and implementing ELT data pipelines using tools like dbt and Apache Airflow with Snowflake as Cloud Datawarehouse
• Exposed to ETL/ELT and governance tools (incl. FiveTran, Alation)
• Experience within the AWS Cloud environment with services such as AWS S3, AWS Lambda, SNS, SQS, IAM
• Strong technical proficiency in SQL, data modelling and data warehousing in a variety of database technologies.
• Ability to present and communicate complex technical issues to a variety of audiences including senior management.
• Demonstrable career history working with and delivering high volume Data Warehousing solutions is essential.

Good-to-Have

• Understanding of coding languages like Python would be advantageous, though not essential.
• You are comfortable being responsible for continuous deployment, operation, and monitoring of your data solutions and their infrastructure. Preferred CI/CD toolkit: Terraform, GitHub Actions
• Airline Industry domain experience
• Adaption to Agile Methodology