Databricks Engineer

1 week ago

Hyderabad, Telangana, India iDWTeam Full time US$ 84,000 - US$ 1,44,000 per year

We are seeking an experienced
Databricks Engineer
to join our data team. The ideal candidate will have strong expertise in Databricks, Spark, and cloud platforms (Azure/AWS/GCP), along with a solid understanding of data engineering best practices. You will work closely with cross-functional teams to build scalable data pipelines, optimize big-data workloads, and support advanced analytics initiatives.

Key Responsibilities

  • Design, develop, and maintain scalable data pipelines using
    Databricks
    and
    Apache Spark
    .
  • Build and optimize ETL/ELT workflows for large-scale datasets.
  • Develop Delta Lake tables and manage data quality, reliability, and performance.
  • Integrate data from various sources (APIs, databases, cloud storage).
  • Collaborate with data scientists, analysts, and business stakeholders to support analytics and ML workloads.
  • Implement best practices for CI/CD, version control, and automation.
  • Monitor platform performance and troubleshoot issues in Databricks clusters and jobs.

Required Skills & Experience

  • 3+ years of experience as a Data Engineer or similar role.
  • Hands-on experience with
    Databricks
    (Jobs, Workflows, Delta Lake, Unity Catalog, Notebooks).
  • Strong proficiency in
    Apache Spark (PySpark/Scala)
    .
  • Experience with at least one cloud platform:
    Azure, AWS, or GCP
    .
  • Strong SQL knowledge for data modelling, transformations, and performance tuning.
  • Experience with CI/CD tools (Git, Azure DevOps, Jenkins, etc.).
  • Solid understanding of data warehousing and data-lake architecture.

Preferred Qualifications

  • Databricks certification(s) (Data Engineer Associate/Professional).
  • Experience with MLflow or supporting data science workloads.
  • Knowledge of streaming technologies (Structured Streaming/Kafka).
  • Experience with orchestration tools (Airflow, ADF, AWS Glue, etc.).

What We Offer

  • Competitive compensation and benefits.
  • Opportunity to work with modern cloud and big-data technologies.
  • Collaborative, growth-oriented team environment.
  • Career development and certification support.

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