The Data Engineer will be responsible for building, optimizing, and maintaining data pipelines and DataMarts on AWS while ensuring compliance with data privacy regulations. They will work closely with the Data Architect and onshore teams to develop scalable ETL processes that support business reporting and analytics needs.
Key Responsibilities
Specific Duties and Responsibilities:
Key Skills
1️ Data Engineering & ETL Development
Strong experience in ETL development using AWS Glue, Lambda, and Step Functions
Expertise in building scalable Data Pipelines (Batch & Streaming)
Hands-on experience with SQL-based transformations and Redshift stored procedures
2️ AWS Cloud Data Services
AWS Redshift – Query optimization, table design, partitioning, and indexing.
AWS Glue & AWS Athena – Building serverless ETL pipelines
Amazon S3 – Data lake management and integration with Redshift
AWS Lambda – Writing lightweight data processing functions
3️ Data Modeling & DataMart Development
Experience designing star and snowflake schemas for DataMarts
Ability to create optimised fact and dimension tables
Strong understanding of data partitioning and indexing strategies
Requirements
Key Responsibilities:
Requirements
Key Responsibilities: