AWS Databrick Engineer

6 - 11 years

15 - 30 Lacs

Posted:4 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Interested can also apply with

Sanjeevan Natarajan - 94866 21923

sanjeevan.natarajan@careernet.in

Role & responsibilities

  • Technical Leadership

    Lead a team of data engineers and developers; define technical strategy, best practices, and architecture for data platforms.
  • End-to-End Solution Ownership

    Architect, develop, and manage scalable, secure, and high-performing data solutions on AWS and Databricks.
  • Data Pipeline Strategy

    Oversee the design and development of robust data pipelines for ingestion, transformation, and storage of large-scale datasets.
  • Data Governance & Quality

    Enforce data validation, lineage, and quality checks across the data lifecycle. Define standards for metadata, cataloging, and governance.
  • Orchestration & Automation

    Design automated workflows using Airflow, Databricks Jobs/APIs, and other orchestration tools for end-to-end data operations.
  • Cloud Cost & Performance Optimization

    Implement performance tuning strategies, cost optimization best practices, and efficient cluster configurations on AWS/Databricks.
  • Security & Compliance

    Define and enforce data security standards, IAM policies, and compliance with industry-specific regulatory frameworks.
  • Collaboration & Stakeholder Engagement

    Work closely with business users, analysts, and data scientists to translate requirements into scalable technical solutions.
  • Migration Leadership

    Drive strategic data migrations from on-prem/legacy systems to cloud-native platforms with minimal risk and downtime.
  • Mentorship & Growth

    Mentor junior engineers, contribute to talent development, and ensure continuous learning within the team.

Preferred candidate profile

  • Python

    ,

    SQL

    ,

    PySpark

    ,

    Databricks

    ,

    AWS

    (Mandatory)
  • Leadership Experience

    in Data Engineering/Architecture
  • Added Advantage:

    Experience in

    Life Sciences / Pharma


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