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About the Role

We are seeking a Data Engineer to build, enhance, and support scalable data solutions on Azure. This role involves developing data pipelines, integrating SAP and non-SAP source systems, implementing data transformations in Databricks, and delivering trusted datasets for reporting, analytics, and business intelligence. The ideal candidate will have strong experience in Azure Data Factory, Databricks, SQL, and Python, with a passion for solving complex data challenges.

Responsibilities

• Develop and maintain data ingestion pipelines using Azure Data Factory (ADF).
• Integrate data from SAP, databases, APIs, flat files, and cloud applications.
• Implement incremental and CDC-based data loading patterns.
• Troubleshoot data integration and pipeline issues.
• Develop PySpark and SQL-based transformations in Azure Databricks.
• Build and maintain Bronze, Silver, and Gold layer datasets.
• Cleanse, validate, and enrich data to meet business requirements.
• Optimize jobs for performance, scalability, and cost efficiency.
• Support implementation of enterprise data models and Common Data Models (CDM).
• Develop curated datasets for reporting and analytics.
• Ensure data consistency across multiple business domains.
• Deliver trusted datasets for Power BI and self-service analytics.
• Work closely with Business Analysts, BI Developers, and Data Architects to understand data requirements.
• Support report and dashboard performance improvements.
• Implement data quality checks and validation frameworks.
• Adhere to data governance standards and security policies.
• Document data flows, business rules, and technical processes.
• Monitor scheduled jobs and data pipelines.
• Investigate and resolve production incidents.
• Perform root cause analysis and implement corrective actions.
• Participate in deployment and release activities.

Requirements

• SAP ECC / SAP S/4HANA data integration
• REST API integrations
• Event-driven architectures
• Unity Catalog
• Microsoft Fabric
• Retail or Automotive domain experience
• Overall 5-8 years of experience , 3-6 years of Data Engineering experience.
• 2+ years of experience with Azure Databricks.
• 2+ years of experience with Azure Data Factory.
• Experience building enterprise-scale cloud data pipelines.
• ETL / ELT development
• Data warehousing
• Medallion Architecture
• Incremental loading
• Data modeling
• Data quality management
• Power BI
• Dataset optimization
• Dimensional modeling
• Git
• Azure DevOps
• CI/CD concepts

Skills

• Azure Data Factory (ADF)
• Azure Databricks
• Python and PySpark
• SQL
• Azure Data Lake Storage (ADLS)
• Delta Lake

Experience Level

• 5-8 years of overall experience
• 3-6 years of Data Engineering experience
• 2+ years of experience with Azure Databricks
• 2+ years of experience with Azure Data Factory

Education Level

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.