Engineer - A2

Role Overview:

Associate 2 – Azure Data Engineer

2–3 years of experience in data engineering

strong expertise in Azure technologies

Key Responsibilities:

• Data Transformation & Integration
• Perform data extraction, transformation, and loading (ETL) using Azure Databricks, Azure Data Factory, and PySpark.
• Develop and maintain Python/PySpark notebooks for business logic implementation.
• Integrate data from ERP systems (SAP, Oracle, Microsoft Dynamics) and other sources into Azure-based workflows.
• Workflow Development
• Design and manage data pipelines using Azure Data Factory and Databricks.
• Apply optimization techniques for efficient data processing.
• Audit Engagement Support
• Collaborate with audit teams to extract and process client data.
• Deliver accurate and meaningful insights through reports and dashboards.
• Quality & Compliance
• Ensure adherence to audit methodology and data governance standards.
• Maintain documentation for processes and workflows.
  

RESPONSIBILITIES

Key Responsibilities:

• Data Transformation & Integration
• Perform data extraction, transformation, and loading (ETL) using Azure Databricks, Azure Data Factory, and PySpark.
• Develop and maintain Python/PySpark notebooks for business logic implementation.
• Integrate data from ERP systems (SAP, Oracle, Microsoft Dynamics) and other sources into Azure-based workflows.
• Workflow Development
• Design and manage data pipelines using Azure Data Factory and Databricks.
• Apply optimization techniques for efficient data processing.
• Audit Engagement Support
• Collaborate with audit teams to extract and process client data.
• Deliver accurate and meaningful insights through reports and dashboards.
• Quality & Compliance
• Ensure adherence to audit methodology and data governance standards.
• Maintain documentation for processes and workflows.
  

QUALIFICATIONS

Education Requirements

• B. Tech/B.E/MCA (Computer Science / Information Technology)
  

Technical Skills

• 2–3 years in data engineering with strong exposure to Azure Databricks, Azure Data Factory, PySpark, and Python.
• Proficiency in Azure, DataBricks Notebooks, SQL, Python or Pyspark notebooks development.
• Hands-on experience with Azure Databricks, Azure Data Factory (ADF), Azure Data Lake Storage (ADLS)
• Knowledge of Azure cloud services
• Experience in Alteryx and PowerBI for data analysis and visualization purpose.
• Microsoft Fabric and Azure AI services is an added advantage
  

Enabling Skills

• Strong analytical and problem-solving abilities.
• Attention to detail and ability to work independently.
• Effective communication and collaboration skills.
• Willingness to work in a dynamic environment and deliver within tight timelines.
• Effective communication skills
• Flexible to work timings and willingness to work in different projects/technologies