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.

Valuable-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

📌 AWS Senior Data Engineer (Hyderabad)
🏢 Tata Consultancy Services
📍 Hyderabad