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Global brand, popular senior data engineer role, and metro location increase candidate density.
Databricks, Azure, and CDC skills are highly transferable across industries.
Strong mandatory Databricks, CDC, Azure, and data governance requirements narrow candidate pool.
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Design and operate real-time data replication flows using Qlik Replicate targeting Databricks with multiple RDBMS sources.
Build and maintain automated CI/CD and DevOps pipelines for data workloads on Azure DevOps focusing on repeatable deployments.
Provide technical leadership including mentoring, documentation, and monitoring performance, security, and data governance across data ingestion and storage.
Experience in data engineering with real-time replication and change data capture (CDC) for relational databases into Databricks.
Proficiency in Python and/or Scala, strong database concepts, and built experience with Databricks pipelines and cloud data services (Azure Data Factory, Synapse, ADLS Gen2).
Hands-on knowledge of data governance, security, encryption, and PII protection in data platforms.
Work Location: Noida, India; Work Experience Required: Not explicitly mentioned in the JD.
Experienced in operating production data platforms using Lakehouse architecture and strong Databricks best practices including Delta Lake and Unity Catalog.
Comfortable working internationally in distributed teams and capable of clear technical communication across audiences.
Demonstrates ownership and accountability for end-to-end data engineering solutions with emphasis on automation, performance tuning, and data quality frameworks.