AZURE DATA ENGINEER

We are seeking an experienced Azure Data Engineer with strong expertise in Microsoft Azure, Azure Databricks, Microsoft Fabric, Python, PySpark, PL/SQL, and Power BI. The candidate will be responsible for building scalable data ingestion pipelines, transforming and standardizing data, ensuring data quality, and supporting analytics and reporting solutions across multiple data sources.

Key Responsibilities

Design, develop, and maintain scalable data ingestion pipelines using Microsoft Azure and Azure Databricks. Perform data transformation, cleansing, validation, and schema normalization using Python, PySpark, and SQL. Ingest and standardize internal and external partner data, ensuring accurate SKU, partner, and channel mapping.

Implement data quality checks, reconciliation processes, and validation rules across datasets. Monitor data pipelines, troubleshoot failures, and perform exception handling and root cause analysis. Manage data refresh schedules, pipeline orchestration, and operational monitoring workflows.

Support onboarding of new data feeds and integrations across enterprise systems. Develop standardized data models to support analytics, reporting, and business intelligence requirements. Work with Microsoft Fabric and Power BI to support data analytics and reporting solutions.

Utilize Azure Cosmos DB and related data services where applicable. Implement data governance, security, compliance, data lineage, auditability, and traceability standards. Support inventory data pipelines and deliver reliable, high-quality datasets for business reporting.

Collaborate with data analysts, business stakeholders, and cross-functional teams to understand data requirements. Explore Microsoft Foundry capabilities to support AI-enabled data solutions where required. Required Skills And Qualifications 4–6 years of experience in data engineering, data integration, and data pipeline development.

Strong hands-on experience with Microsoft Azure data services. Experience with Azure Databricks, PySpark, and Python for large-scale data processing. Proficiency in SQL and PL/SQL for data transformation, querying, and validation.

Knowledge of Microsoft Fabric and its data engineering capabilities. Experience with Microsoft Power BI for analytics and reporting integration. Familiarity with Microsoft Power Platform and workflow automation.

Experience with Azure Cosmos DB or other NoSQL databases. Familiarity with Microsoft Foundry and AI-enabled application development is desirable. Strong understanding of ETL/ELT pipelines, data modeling, data quality, and data reconciliation.

Knowledge of data governance, security, compliance, and data lineage. Strong analytical, troubleshooting, communication, and problem-solving skills.