Data Engineer

Data Engineer

Department: Software & Data Services (SDS)
Reports To: Data Services Lead
Experience: 5+ Years
Employment Type: Full-Time

Role Overview

We are looking for an experienced Data Engineer to design, develop, and maintain scalable data infrastructure and data pipelines. The candidate will work closely with Data Engineers, Power BI Developers, and business stakeholders to deliver reliable data solutions, data products, and BAU activities.

Key Responsibilities

• Develop and maintain data warehouses, data lakes, and data pipelines.
• Design and implement scalable ETL/ELT pipelines to move data from multiple sources to the data warehouse.
• Work with stakeholders to understand data requirements and develop appropriate technical solutions.
• Develop data quality and validation processes to ensure accuracy, consistency, and reliability.
• Automate repetitive data processing and data engineering activities.
• Develop and support new data products and services.
• Perform troubleshooting and root-cause analysis for data pipeline and data quality issues.
• Collaborate with Power BI Developers and other Data Engineers to provide reliable and well-structured datasets.
• Follow best practices for data modeling, data governance, documentation, and pipeline development.

Mandatory Skills

• 5+ years of experience in Data Engineering
• Strong hands-on experience with Python
• Strong SQL skills
• Experience with MS SQL Server / MSSQL
• Strong understanding of Data Warehousing
• Experience in Data Modeling
• Hands-on experience developing ETL/ELT and Data Pipelines
• Experience with Data Quality / Data Validation
• Experience with Microsoft Fabric and Informatica /  Informatica ICS
• Strong problem-solving and analytical skills

Good to Have

• Power BI
• Data Lakes
• Azure Data Services
• Azure Data Factory
• Power BI Dataflows
• Data automation and orchestration tools