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Medium competition: recognized global brand, common senior data engineer profile, and Pune metro location.
Low: core data engineering, cloud, and ETL skills broadly transferable across industries.
Medium: strong technical Azure/Databricks/PySpark expectations but no explicit years requirement.
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Architect and provision Azure infrastructures for various workloads, including data analytics platforms.
Deploy, maintain, and provide DevOps support for Azure platform delivery and production operations.
Serve as a technical escalation point and mentor for the Managed Services team while collaborating on process improvements.
Hands-on experience with Azure Cloud and related technologies such as Azure Data Factory, Azure Data Lake, Power BI, SQL Server, or Databricks.
Proficient in SQL querying and experienced with Python/Pyspark.
Familiarity with Microsoft Azure Cloud Adoption Framework, Azure Landing Zones, Hub/Spoke Networks, ARM Templates, and Azure DevOps (Pipelines and Repos).
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in enterprise-level cloud infrastructure and application delivery within Azure environments.
Capable of influencing solution architecture to ensure supportability and transferring technical knowledge within teams.
Ability to handle customer-facing responsibilities with strong English communication and interpersonal skills.