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Zorba AI Linkedin · Posted 19d ago

Data Analyst_3+yrs

India

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Indexed description

Responsible for building and maintaining data pipelines and transformation logic using

PySpark/Databricks, enabling analytics and reporting use cases.

Roles & Responsibilities

  • Develop ETL/ELT data pipelines using PySpark/Spark leveraging lakeflow declarative pipelines.
  • Perform data transformation, cleansing, and enrichment.
  • Optimize Spark jobs for performance and cost efficiency.
  • Build datasets for analytics, reporting, and BI consumption.
  • Leverage AWS query federation SDK/Databricks Datasource API for query federation.
  • Work with multiple data sources (S3, APIs, etc.).
  • Support data validation, reconciliation, and testing.
  • Collaborate with architects, analysts, and downstream teams.

Qualifications

  • 3-8 years of experience in data engineering / analytics.
  • Hands-on development experience in PySpark/Databricks and Python.
  • Strong Experience in PySpark, Spark SQL.
  • Strong Experience in Python.
  • Strong Experience in Databricks.
  • Strong Experience in SQL.
  • Experience in Data transformation & pipeline development.

Skills: etl,pyspark,sql,databricks,python
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