Data Engineer III/IV

The Data Engineer will be responsible for requirements understanding, solution designing, and building modern  data platforms to support data-driven decision-making. The Data Engineer will execute technical implementation of data engineering and visualization projects, and will be a hands-on role. The Data Engineer will help in creating technical collateral and staying on top of technology trends with ongoing training and certifications.

​AWS Data Engineering:

• Develop and maintain scalable ETL/ELT pipelines using AWS Glue, Lambda, Step Functions, and Athena.
• Work with Amazon S3, Redshift, and Lake Formation to implement data lakes and warehouses.
• Monitor and optimize pipeline performance and cost efficiency.

Data Warehousing & Modeling:

• Build and support star/snowflake schemas, fact and dimension tables in Redshift or SQL Server.
• Ensure data integrity, lineage, and consistency across various source systems.

Data Quality & Validation:

• Implement automated data quality checks using custom logic or tools such as Deequ or Great Expectations.
• Perform root cause analysis and resolve data-related issues during development and testing phases.

Collaboration & Support:

•  Work with data analysts, business users, and architects to translate requirements into technical specs.
• Support UAT, deployment, and production issue resolution for ETL pipelines and reports.
• P erform root cause analysis and resolve data-related issues during development and testing phases.