Senior Data Engineer

4 - 6 years

0 Lacs

Posted:1 day ago| Platform: Foundit logo

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Work Mode

On-site

Job Type

Full Time

Job Description

About the Role:

Key Responsibilities

  • Design and implement data pipelines using

    PySpar

    k on Databricks
  • Automate deployment, job orchestration, and cluster management using

    DB

    X
  • Optimise Spark jobs for performance and cost efficiency (partitioning, caching, broadcast joins)
  • Collaborate with data architects, analysts, and business stakeholders to deliver scalable solutions
  • Integrate Databricks with cloud storage systems (Azure Data Lake, AWS S3, or GCP equivalents)
  • Ensure compliance with standards on data governance, security, and monitoring
  • Support CI/CD processes for data engineering workflows

.

Required Skills

  • Strong hands-on experience with PySpa

    rk (DataFrame API, advanced transformations, performance optimisation)
  • Proficiency with DBX (Databricks CLI/DevOp

    s) for deployment and automation
  • Solid understanding o

    f distributed data processi

    ng and Spark internal
  • Proficiency i

    n S

    QL for querying and optimising data operations
  • Familiarity with version control (Git) and CI/CD tools (Azure DevOps, Jenkins, GitHub Actions)

Preferred / Nice-to-Have Skills

  • Experience wi

    th Delta L

    ake and lakehouse architecture
  • Knowledge

    of cloud platfo

    rms (Azure, AWS, or GCP)
  • Background

    in data governance, monitoring, and security practi

    ces
  • Exposure to containerization (Docker, Kubernetes) and infrastructure-as-code

Qualifications.

  • Bachelors degree in Computer Science, Engineering, or related field (or equivalent practical experience.
  • 4+ Years of experience in data engineering or big data roles
  • Prior experience

    in enterprise-scale Databricks implementat

    ions preferred.

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