Job Description
Data Integration & Data Warehousing Engineer We are looking for a skilled Data Integration & Data Warehousing Engineer to design, build, and manage scalable data pipelines and enterprise data warehouse solutions using AWS Glue, AWS Lambda, and Informatica.
This role will focus on enabling reliable data ingestion, transformation, modelling, and delivery across the organization while ensuring performance, quality, governance, and scalability.
Key Responsibilities
Data Integration & Pipeline Development
Design, develop, and maintain scalable data pipelines using Python, AWS Glue, and Informatica PowerCenter.
Build robust ETL/ELT workflows for ingesting structured data from multiple sources (databases, APIs, files, SaaS systems).
Develop reusable ingestion frameworks to support data migration from on‑prem to cloud.
Data Warehousing & Modelling
Develop and maintain dimensional models (fact/dimension tables, SCD handling...
This role will focus on enabling reliable data ingestion, transformation, modelling, and delivery across the organization while ensuring performance, quality, governance, and scalability.
Key Responsibilities
Data Integration & Pipeline Development
Design, develop, and maintain scalable data pipelines using Python, AWS Glue, and Informatica PowerCenter.
Build robust ETL/ELT workflows for ingesting structured data from multiple sources (databases, APIs, files, SaaS systems).
Develop reusable ingestion frameworks to support data migration from on‑prem to cloud.
Data Warehousing & Modelling
Develop and maintain dimensional models (fact/dimension tables, SCD handling...
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