Senior Engineer (SA1 DES - Azure Data Engineer)
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level Azure Data Engineer demand, and broad Azure/Databricks skillset increase competition.
Core Azure data engineering skills are transferable, but audit/ERP tool familiarity increases domain specificity.
Explicit 4-6 years requirement and mandatory Azure/Databricks/ADF skills create stringent shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain scalable data pipelines and data warehouses on Azure using Databricks, Data Factory, Data Lake Storage, and Synapse Analytics for Audit Data & Analytics.
Ensure data quality, consistency, and governance, leveraging Unity Catalog and implement ETL processes for large datasets from client ERP systems.
Design and deliver Power BI reports and dashboards with complex data modeling and visualizations, incorporating Gen AI integration and Azure AI services where applicable.
Minimum Requirements
4-6 years of experience in Data Engineering.
Proficiency in SQL and Python or PySpark notebooks development.
Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS), Azure Synapse Analytics, and comprehensive knowledge of Azure cloud services.
Bachelor's degree in Engineering (B.Tech/B.E) or MCA in Computer Science or Information Technology.
Ideal Candidate Profile
Experienced in working with complex ETL pipelines and large-scale data solutions within Azure cloud environments, especially Databricks and Data Factory.
Skilled in advanced Power BI development including DAX expressions, Power Query, and designing star/snowflake schema data models.
Comfortable adapting and integrating emerging technologies such as Microsoft Fabric and Azure AI/Gen AI services into analytics solutions.