Data Engineering Technical Lead

Inactive

IndiaFull-TimeLead

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Salary not disclosed

Job closed

Job Details

12+ years of experience in data engineering, analytics engineering, BI engineering, or related technical roles.
Strong expertise in enterprise data warehousing, dimensional modeling, and modern data architecture principles.
Hands-on experience with Databricks, Spark/PySpark, Delta Lake, SQL, and Python.
Proven experience supporting and scaling enterprise-grade data platforms.
Strong skills in troubleshooting, root cause analysis, and performance optimization.
Experience reviewing engineering implementations and guiding technical design decisions.
Solid understanding of data lineage, dependency mapping, and downstream impact analysis.
Ability to translate business needs into clear technical solutions.
Strong communication and collaboration skills.
Experience with CI/CD pipelines, DevOps practices, and release management.

Act as the primary technical lead and escalation point for enterprise data engineering initiatives.
Translate business and reporting requirements into actionable engineering guidance across Databricks, Spark, and modern data platforms.
Guide the design and implementation of data pipelines, transformations, and scalable data models.
Review engineering solutions for performance, scalability, maintainability, and architectural consistency.
Lead troubleshooting, root cause analysis, and resolution of data pipeline failures and data quality incidents.
Perform lineage analysis and downstream impact assessment.
Support operational stability, production monitoring, and release validation.
Define and promote reusable engineering patterns and medallion architecture.
Drive adoption of CI/CD, DevOps practices, and governance frameworks.
Mentor and guide data engineers.

Job closed