10 - 20 years

18 - 32 Lacs

Posted:22 hours ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Role & responsibilities

Project Role & Description

Lead Data Engineer

Primary Key Skills

  • Databricks Expertise

    : 3+ years of experience, including Unity Catalog
  • Databricks certifications preferred
  • SQL/T-SQL Mastery

    : Advanced query development and optimization
  • Leadership Experience

    : 3+ years managing and mentoring technical teams
  • Data Warehousing

    : 7+ years in data modeling, cleansing, mapping, validation, and ETL/ELT development
  • Programming

    : Strong proficiency in Python
  • DevOps & Version Control

    : Experience with Azure DevOps (CI/CD) and GitHub
  • Detail Orientation

    : Exceptional organizational skills and commitment to data accuracy
  • Project Management

    : Proven ability to lead teams and deliver complex projects on time
  • Bonus Skills:

  • Experience with SAP data
  • Familiarity with API/JSON/XML data sources
  • Understanding of Microsoft Fabric and Power BI

Key Responsibilities

  • Lead and manage a team of data engineers, providing technical guidance, performance feedback, and career development support
  • Foster a high-performing team culture focused on accountability, innovation, and continuous learning
  • Define team goals and align engineering efforts with business priorities and timelines
  • Collaborate with business stakeholders to gather and analyze data requirements
  • Design and maintain data models, ETL pipelines, and ingestion/extraction workflows
  • Administer ETL jobs and implement robust failure recovery mechanisms
  • Drive recruitment and onboarding of new engineering talent
  • Ensure data quality, integrity, and consistency across all solutions
  • Partner with data scientists, analysts, and cross-functional teams to deliver actionable insights
  • Operate within an agile development framework using Azure DevOps sprints
  • Evaluate new data sources and define optimal ingestion strategies for the Data Lake
  • Enforce data governance policies and industry best practices for security and compliance
  • Conduct rigorous data quality testing for all new developments
  • Demonstrate ownership and initiative in resolving challenges and driving project success
  • Support the growth of junior engineers through coaching and knowledge sharing
  • Stay current with emerging technologies and enhancements within the existing toolset
  • Sense of ownership. Engages domain experts and team members to work through challenges to ensure timely project delivery. Self Starter.
  • Communicate effectively in both written and verbal formats; fluency in English required

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