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Role: Associate Application Developer

Exp- 7+yrs

Shifts- UK Shift-2 PM to 11 PM

Job Role:

• Azure Data Engineer with 7+ years of experience in designing, building, and optimizing scalable data solutions on Microsoft Azure.
• Hands-on experience with Azure Data Factory, Synapse Analytics, Delta Lake, and Power BI, and capable of delivering end-to-end data engineering pipelines for enterprise-scale applications.

Key Responsibilities:

• End-to-End Data Pipeline Development

• • Design and develop robust ETL/ELT pipelines using Azure Data Factory and Azure Databricks.
  • Ingest data from multiple sources including SQL Servers, SAP, Oracle, ADLS Gen2, Mainframe, and Blob Storage.
  • Implement medallion architecture (Bronze, Silver, Gold layers) for modular and scalable data processing.
  • Big Data Processing & Databricks Engineering
    Perform complex data transformations using PySpark and SparkSQL in Azure Databricks.
  • Optimize Spark workloads for performance, scalability, and cost-efficiency.
    Manage Databricks Unity Catalog for metadata management, data lineage, and governance.

• Data Architecture & Warehousing: -

• • Design end-to-end architecture using Delta Lake, Synapse Analytics, Azure SQL, and Azure Data Lake.
  • Build Lakehouse data models to support analytical and reporting needs.
    Create and manage dedicated SQL pools in Synapse for high-performance queries.

• Reporting and Dashboarding:

• • Develop interactive dashboards in Power BI, using DAX and real-time data sources.
    Integrate Power BI with Synapse, ADF, and semantic models for seamless reporting.

• Data Quality & Monitoring:

• •  Implement automated validation frameworks to monitor data thresholds and quality.
  • Enable real-time exception handling, incident management, and root cause analysis.
    Monitor pipelines using tools and support hypercare during production rollout.

• DevOps and CI/CD Integration:

• Utilize Azure DevOps, Git, and Jira for agile delivery, version control, and sprint tracking.
• Automate deployments across environments using CI/CD pipelines for notebooks, scripts, and workflows.

• Collaboration and Stakeholder Alignment:

• • Work closely with business analysts, data scientists, and downstream teams to gather requirements.
  • Document technical architecture, metadata, and reusable components for organizational knowledge sharing.
  • Participate in sprint planning, UAT cycles, and ongoing production support.