Sr. Databricks Engineer

1 week ago


Ahmedabad, Gujarat, India XpertNest Full time ₹ 20,00,000 - ₹ 25,00,000 per year

We are looking for an experienced
Databricks Engineer
to join our data engineering team. The role involves designing, building, and optimizing
data pipelines and workflows
on Databricks, ensuring scalability, performance, and reliability for enterprise-grade projects. The ideal candidate has strong experience with
Spark, PySpark, and SQL
, and can work across diverse data sources in a modern cloud environment.

Key Responsibilities

  • Design, build, and maintain
    data pipelines
    and workflows on Databricks.
  • Implement
    data transformations, aggregations, and validations
    for large datasets.
  • Work with
    structured, semi-structured, and unstructured data
    across multiple sources.
  • Optimize Databricks jobs for
    performance, scalability, and cost efficiency
    .
  • Collaborate with stakeholders to understand business requirements and deliver data-driven solutions.
  • Ensure
    data integrity, security, and compliance
    across all processes.
  • Document solutions, workflows, and provide knowledge transfer to team members.
  • Stay updated with the latest
    Databricks and cloud ecosystem features
    .

Required Skills & Qualifications

  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, or equivalent experience.
  • Proven hands-on experience (X+ years) with
    Databricks
    and
    Apache Spark (PySpark/Scala)
    .
  • Strong proficiency in
    SQL
    and data modeling.
  • Experience with
    Delta Lake
    and modern
    data lakehouse architectures
    .
  • Familiarity with
    cloud platforms
    (Azure, AWS, or GCP).
  • Understanding of
    data governance, lineage, and role-based security
    .
  • Ability to work in
    agile teams
    and communicate effectively with both technical and business stakeholders.

Nice to Have

  • Experience with
    orchestration tools
    (Airflow, Azure Data Factory, AWS Glue).
  • Exposure to
    real-time/streaming data
    (Kafka, EventHub, Kinesis).
  • Knowledge of
    CI/CD for data pipelines
    and Infrastructure-as-Code (Terraform, ARM templates).
  • Familiarity with
    data warehouse solutions
    (Snowflake, BigQuery, Redshift).


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