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Mid-level metro data role with common Databricks/Spark skills creates moderate applicant competition.
Specific Databricks, Unity Catalog and Azure stack requirements moderately limit cross-industry portability.
Explicit 5-8 years plus many mandatory data-platform and Azure skills enforce strict shortlisting.
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Provide on-call and general shift production support for data engineering operations, including incident handling and troubleshooting.
Operate exclusively from Bangalore/Chennai office, adhering strictly to on-site work and on-call support requirements, including after-hours office attendance.
Own data pipeline architecture, design, and operational execution using technologies like Python, Databricks, Unity Catalog, ADLS, Spark, and Azure services.
3+ years of hands-on experience in data and production support managing incidents.
Mandatory skills: Python, Databricks, Unity Catalog, ADLS, Spark, Airflow, Azure Services (Kubernetes, AVD, Log Analytics Workspace, SQL, Costing), Terraform (good to have).
Work Location: Bangalore or Chennai with mandatory in-office presence; no work from home or laptop removal allowed.
Work mode includes on-call support requiring availability post general shift hours; candidate must be willing to return to office after hours for support.
Experienced in managing and troubleshooting production data pipelines focusing on Azure cloud and big data tools with strong operational discipline.
Capable of effective stakeholder communication and incident management in a structured on-call rotational environment.
Comfortable working strictly onsite with flexible shift timings and supporting operational readiness in a corporate data engineering team.