Senior Data Engineer (IICS)

About the role

Design, develop, and maintain scalable data pipelines using dbt, SQL, AWS services i.e S3, Redshift, Airflow and related frameworks. Build and optimize complex data transformations and SQL workloads for large-scale datasets. Design and implement data models following data warehousing and analytics engineering best practices.

What you'll do

• Design, develop, and maintain scalable data pipelines using dbt, SQL, AWS services i.e S3, Redshift, Airflow and related frameworks
• Build and optimize complex data transformations and SQL workloads for large-scale datasets
• Design and implement data models following data warehousing and analytics engineering best practices
• Develop and maintain data solutions leveraging AWS S3, Glue and Redshift
• Collaborate with business stakeholders, analysts and BI teams to deliver data solutions

What you need

• 5–10 yrs of experience
• Informatica
• SQL
• Python
• AWS
• ETL
• Data warehousing
• B.Tech or B.E. or B.Sc or BCA or M.Tech or MCA or M.Sc

Good to have

• dbt
• Redshift
• Airflow
• Spark
• Power BI
• CI/CD