Senior Azure Data Engineer

2 days ago

Noida, Uttar Pradesh, India SWITS DIGITAL Private Limited Full time

Job Title:
Senior Azure Data Engineer

Experience:
9–12 Years

Location:
Noida

Job Description
We are looking for a
Senior Azure Data Engineer
with extensive experience in building and optimizing large-scale data pipelines and architectures using the
Microsoft Azure ecosystem
. The ideal candidate should have deep hands-on expertise in
Azure Data Factory (ADF)
,
Azure Databricks
, and
Unity Catalog
, along with a strong understanding of
data governance, security, and performance optimization
.

The role involves designing scalable, reliable, and secure data platforms that enable data-driven decision-making across the enterprise.

Key Responsibilities

  • Design and implement end-to-end data pipelines using Azure Data Factory (ADF) and Azure Databricks.
  • Manage data ingestion, transformation, and orchestration across multiple sources and destinations.
  • Implement Delta Lake architecture and manage data governance through Unity Catalog.
  • Collaborate with data architects and business teams to define data integration strategies.
  • Optimize pipelines for performance, scalability, and cost efficiency.
  • Ensure data security, lineage, and cataloging across environments.
  • Work closely with stakeholders to define and maintain data models and ETL/ELT frameworks.
  • Implement and maintain CI/CD pipelines for data workflows using Azure DevOps or GitHub Actions.
  • Drive best practices in data management, quality, and compliance.
  • Mentor junior engineers and provide technical guidance on Azure data solutions.

Technical Skills
Core Azure Tools & Services:

  • Azure Data Factory (ADF): Pipeline orchestration, triggers, integration runtimes
  • Azure Databricks: PySpark, Delta Lake, Notebooks, job orchestration
  • Unity Catalog: Data governance, access control, lineage, compliance
  • Azure Synapse Analytics and Azure SQL Database

Programming & Scripting

  • Strong proficiency in SQL and Python (PySpark)
  • Experience with ETL/ELT design patterns

Data Storage & Architecture

  • Azure Data Lake Storage (ADLS Gen2), Delta Lake, Parquet/CSV/JSON data formats
  • Data modeling (star/snowflake schema)

DevOps & Automation

  • CI/CD pipelines using Azure DevOps / GitHub
  • Version control (Git)
  • Infrastructure as Code (IaC): Terraform / ARM Templates (optional but preferred)

Other Preferred Skills

  • Knowledge of Power BI / Data Visualization tools
  • Experience with data quality frameworks
  • Familiarity with Data Mesh / Modern Data Platform concepts

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