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Databricks Engineer _ Pan India _ Contract Role @ Cygnus

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 Databricks Engineer _ Pan India _ Contract Role

Job Description

Databricks Engineer _ Pan India


Role & responsibilities

  • Develop and maintain a metadata driven generic ETL framework for automating ETL code Design, build, and optimize ETL/ELT pipelines using Databricks (PySpark/SQL) on AWS .
  • Insure MO rating engine experience required.
  • Ingest data from a variety of structured and unstructured sources (APIs, RDBMS, flat files, streaming).
  • Develop and maintain robust data pipelines for batch and streaming data using Delta Lake and Spark Structured Streaming.
  • Implement data quality checks, validations, and logging mechanisms.
  • Optimize pipeline performance, cost, and reliability.
  • Collaborate with data analysts, BI, and business teams to deliver fit for purpose datasets.
  • Support data modelling efforts (star, snowflake schemas) de norm tables approach and assist with data warehousing initiatives.
  • Work with orchestration tools Databricks Workflows to schedule and monitor pipelines.
  • Follow best practices for version control, CI/CD, and collaborative development Skills Hands-on experience in ETL/Data Engineering roles.
  • Strong expertise in Databricks (Pyspark, SQL, Delta Lake),
  • Databricks Data Engineer Certification Preferred
  • Experience with Spark optimization, partitioning, caching, and handling large-scale datasets.
  • Proficiency in SQL and scripting in Python or Scala.
  • Solid understanding of data lakehouse/medallion architectures and modern data platforms.
  • Experience working with cloud storage systems like AWS S3 Familiarity with DevOps practices Git, CI/CD, Terraform, etc. Strong debugging, troubleshooting, and performance-tuning skills.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Technical Lead
Employement Type: Contract

Contact Details:

Company: Cygnus
Location(s): Hyderabad

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Keyskills:   scripting Databricks Engineer ETL AWS SQL Pyspark Delta Lake Databricks

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Cygnus

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