IN_Senior Associate_Azure Fabric Engineer_GCC_Advisory_Bangalore
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Data-driven signals on your job's competitivenessTier-1 brand, mid-level data role, metro location, and broad appeal increase competition.
Role requires Azure Databricks and PySpark specialization, moderately limiting cross-industry transferability.
Explicit 4–8 years requirement plus mandatory Azure/Databricks/PySpark skills and certifications.
Job Description
Structured overview of role & requirementsAbout This Role
Design and develop data infrastructure and systems to enable efficient data processing and analysis.
Develop and implement data pipelines, data integration, and data transformation solutions using Azure Fabric and Databricks.
Troubleshoot and debug data engineering solutions with a focus on Python, PySpark, and Azure services.
Minimum Requirements
4 to 8 years of total work experience with a minimum of 3 years relevant experience in data engineering.
Mandatory skills: Azure Databricks, PySpark, Azure Data Factory, Azure Fabric, Python scripting, SQLDB with complex stored procedures, Synapse.
Certifications required: DP-203 (Azure Data Engineer Associate) and Databricks Certified Data Engineer Professional (Architect/Managerial level).
Experience with source control technologies (GitHub, Azure DevOps) and build/release pipelines. Education: B.Tech, B.E, M.Tech, M.E, or MCA.
Ideal Candidate Profile
Experienced data engineer skilled in advanced Azure data services, especially Azure Fabric and Databricks.
Proficient in complex PySpark scripting and Python for data analysis and transformation workloads.
Demonstrates strong debugging and version control usage aligning with enterprise data platform development.