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Strong employer brand, popular Data Engineer title, mid-level experience band, and Hyderabad metro increase applicant competition.
Data engineering skills are broadly transferable across industries despite Azure/Databricks specifics.
Explicit 4+ years plus mandatory Azure, Databricks, PySpark and Power BI skills imply strict technical filters.
Lead design and development of cloud-based data and analytics platform using Azure and Databricks.
Develop, optimize, and maintain data pipelines, data transformation processes, and data models for large datasets.
Collaborate with product managers to ensure high-quality product delivery and build BI reports for faster decision making.
Bachelor's or master's degree in computer science, data engineering, or related field.
4+ years of work experience in data engineering and cloud platforms.
Strong proficiency in Microsoft Azure services (Azure Data Factory, Azure Databricks, Azure SQL Database, Azure Data Lake Storage, Azure Synapse Analytics).
Proficiency in PySpark, Python, SQL, or Scala for scripting and automation.
Experienced in designing and managing cloud-based data platforms focusing on Azure and Databricks ecosystems.
Skilled in end-to-end data pipeline development including ingestion, transformation, modeling, and governance.
Comfortable working within cross-functional teams with product managers to deliver business-impacting data solutions.