Data Engineer

As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data solutions that support reporting, analytics, and business decision-making. You will work with large datasets and modern cloud technologies to build data pipelines, transform and integrate data, and deliver trusted datasets for business intelligence solutions.

The role requires hands-on experience with SQL, Python, data modeling, ETL/ELT development, Azure Synapse Analytics, Microsoft Fabric, Data Factory Pipelines, and Notebooks. You will collaborate with Solution Architects, Business Intelligence teams, and business stakeholders to deliver reliable and efficient data platforms and analytical solutions.

• Design, develop, and maintain enterprise-grade data pipelines using Microsoft Fabric and Azure Synapse Analytics.

• Build, optimize, and support ETL/ELT processes for ingesting and transforming data from multiple source systems.

• Develop and maintain Azure Synapse Pipelines, Fabric Data Factory Pipelines, and orchestration workflows.

• Create, maintain, and optimize Notebooks using Python, PySpark, and SQL for data transformation and validation activities.

• Design and implement data models that support reporting, self-service analytics, and dashboard requirements.

• Develop complex SQL queries, views, stored procedures, and transformation logic.

• Build reusable data engineering solutions for automation, monitoring, and operational reporting.

• Monitor pipeline performance, troubleshoot failures, and implement proactive alerting and monitoring mechanisms.

• Perform data quality assessments, data reconciliation, and root-cause analysis for production issues.