Senior Data Engineer

Position:

Experience:

Skills:

Location:

Interview Mode:

Notice Period:

Key Responsibilities

• Design and develop

  data pipelines

  and

  ETL workflows

  using

  Azure Data Factory, Azure Databricks, and Data Migration Services

• Build and manage

  data models

  ,

  data warehouses

  , and

  data lakes

  on Azure
• Perform large-scale

  data processing

  (batch and streaming) using

  PySpark / Kafka / Event Hubs

• Collaborate with teams to ensure

  data quality, consistency, and performance optimization

• Work on

  Azure provisioning, configuration, and solution development

  (ADF, ADB, ADW, etc.)

Preferred Skills & Tools

• Azure SQL Data Warehouse, Data Factory, Data Lake, Analysis Services

• Databricks / Spark

  for distributed data processing

• Python, SQL, and Data Modelling

• Experience with

  DevOps tools

  (Azure DevOps, Jenkins, Airflow)
• Familiarity with

  data visualization tools

  (Power BI, Tableau)
• Strong analytical mindset and problem-solving attitude

What We’re Looking For

• Highly self-motivated and detail-oriented professionals
• Strong understanding of database principles and modern data architecture
• Ability to prioritize and execute tasks effectively in fast-paced environments

Interested?

Senior Azure Data Engineer

immediate to 30-day joiners

#Hiring #DataEngineer #Azure #Databricks #PySpark #Python #DataFactory #SQL #DataWarehouse #DataJobs #CloudDataEngineering #TechHiring