Senior Azure Data Engineer(Immediate Joiner)

Key Responsibilities:

• Design, build, and maintain scalable

  data pipelines

  and

  ETL workflows

  using

  Azure Data Factory

  ,

  Databricks

  , and

  Python

  .
• Develop and optimize

  data ingestion

  ,

  transformation

  , and

  storage solutions

  in

  Azure

  (Data Lake, Synapse, SQL DB).
• Write efficient and reusable

  Python

  scripts for data processing, validation, and automation.
• Collaborate with data scientists, analysts, and business teams to ensure data accuracy and availability.
• Implement best practices for

  data quality

  ,

  security

  , and

  performance tuning

  .
• Monitor, troubleshoot, and improve existing data pipelines.

Technical Skills:

• Strong in

  Python (Pandas, PySpark, SQLAlchemy)

• Hands-on with

  Azure Data Factory, Azure Databricks, Azure Data Lake, Synapse Analytics

• Solid understanding of

  SQL

  and

  data modeling

  concepts
• Experience with

  ETL/ELT

  processes and orchestration
• Familiar with

  version control (Git)

  and

  CI/CD

  for data pipelines

.