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PwC brand plus mid-level 4–8yrs role in Bangalore with common Data Engineer skills increases competition.
Azure Databricks and DP-203 focus increases domain specificity, but core data engineering skills remain transferable across industries.
Mandatory DP-203/Databricks certifications, 4–8 years requirement and specific Azure/Databricks/PySpark skills make filters strict.
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Design and develop robust data infrastructure and systems enabling efficient data processing and analysis.
Develop and implement data pipelines, data integration, and data transformation solutions using Azure Fabric, Data Factory, Databricks, Synapse, Python, and PySpark.
Troubleshoot, debug, and manage source control and build/release pipelines (GITHUB, Azure DevOps) to support data engineering operations.
4-8 years total work experience with minimum 3 years relevant in data engineering roles.
Bachelor's degree in Engineering or Technology (B.Tech/B.E/M.Tech/M.E) or MCA.
Mandatory technical skills: Azure Data Factory, Azure Databricks, Azure Fabric, PySpark, Python scripting, SQL Database including complex stored procedures.
Certifications required: DP-203 (Azure Data Engineer Associate), Databricks Certified Data Engineer Professional.
Experienced in advanced data engineering using Azure ecosystem and Databricks with strong scripting (Python, PySpark) abilities.
Skilled in debugging, troubleshooting, and managing CI/CD pipelines using GitHub and Azure DevOps.
Qualified with required certifications, demonstrating proficiency in cloud data engineering best practices and professional standards.