DataBricks Senior Programmer Analyst (Exp: 3+ Yrs to 5 Yrs)

Bilvantis Technologies · Python · SQL · ETL/ELT · Azure Data Factory · 2 days ago
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Salary
≈ $20k – $42k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Senior · 3+ years exp
Employment
Full-Time

First seen by Alion on Oct 27, 2026.

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Bilvantis Technologies

bilvantis.io · HQ: Hyderabad, India
Tech stack of Bilvantis Technologies
Job Description: DataBricks – Senior Programmer Analyst (Exp: 3+ Yrs to 5 Yrs)

We are seeking a talented and motivated DataBricks expert to join our team as a Senior Programmer Analyst.

Required Skills & Qualifications

  • 3 to 5 years of hands-on experience in data engineering, software development, or cloud data platform delivery.
  • Expert-level Apache Spark (PySpark) skills.
  • Strong proficiency in SQL.
  • Solid programming skills in Python for automation and data processing.
  • Hands-on experience with a major cloud platform such as Microsoft Azure (Azure Data Factory, ADLS) or AWS.
  • Experience with workflow orchestration tools like Databricks Workflows, Delta Live Tables (DLT), or Apache Airflow.
  • Experience with Infrastructure-as-Code (Terraform).
  • Experience with containerization tools (Docker / Kubernetes).
  • Build and support Databricks data pipelines for enterprise analytics.
  • Understanding of the SDLC and Agile methodologies.
  • Communication with the customer and producing the daily status report.
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related quantitative field.
  • Databricks Certified Data Engineer Associate or Professional certification.
  • Should have good oral and written communication.
  • Should be a good team player and able to work with business stakeholders.
  • Should be proactive and adaptive.

Key Responsibilities

  • Design, build, and maintain scalable ETL/ELT data pipelines using Databricks and Apache Spark to support enterprise analytics.
  • Transform, validate, and optimize large datasets using PySpark and advanced SQL.
  • Implement and maintain Delta Lake and the lakehouse/medallion architecture (bronze, silver, gold layers).
  • Work with data analysts, data scientists, and business stakeholders to define data requirements and deliver trusted datasets.
  • Implement DevOps practices, version control (Git), and deployment automation for data pipelines.
  • Apply access controls, data quality frameworks, and data governance using tools like Unity Catalog.
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