PwC

Senior Associate – Azure Data Engineer

PwC

full-time

Posted on:

Location Type: Office

Location: Kolkata • 🇮🇳 India

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Job Level

Senior

Tech Stack

AzureCloudETLPySparkPythonScalaSQLTableau

About the role

  • Build scalable data solutions on the Microsoft Azure ecosystem (Microsoft Fabric, Azure Databricks)
  • Requirement gathering and analysis
  • Design and implement data pipelines using Microsoft Fabric & Databricks
  • Extract, transform, and load (ETL) data from various sources into Azure Data Lake Storage
  • Implement data security and governance measures
  • Monitor and optimize data pipelines for performance and efficiency
  • Troubleshoot and resolve data engineering issues
  • Provide optimized solution for any problem related to data engineering
  • Work with a variety of sources like Relational DB, API, File System, Realtime streams, CDC
  • Develop and maintain Delta tables and Databricks best practices

Requirements

  • 5–8 years of experience in Data Engineering or related roles
  • Hands-on experience in Microsoft Fabric
  • Hands-on experience in Azure Databricks
  • Proficiency in PySpark for data processing and scripting
  • Strong command over Python & SQL – writing complex queries, performance tuning, etc.
  • Experience working with Azure Data Lake Storage and Data Warehouse concepts (e.g., dimensional modeling, star/snowflake schemas)
  • Experience with different databases like Synapse, SQL DB, Snowflake
  • Hands on experience in performance tuning & optimization on Databricks & MS Fabric
  • Understanding CI/CD practices in a data engineering context
  • Excellent problem-solving and communication skills
  • Exposure to BI tools like Power BI, Tableau, or Looker
  • Education: B.E.(B.Tech)/M.E/M.Tech (Bachelor/Master of Engineering)
  • Mandatory skill sets: Microsoft Fabrics/Azure/Data Engineer
  • Preferred: Azure DevOps, Scala or other distributed processing frameworks, familiarity with data security and compliance in the cloud, experience leading a development team
Benefits
  • inclusive benefits
  • flexibility programmes
  • mentorship
  • support your wellbeing

ATS Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringMicrosoft FabricAzure DatabricksPySparkPythonSQLETLDelta tablesperformance tuningdata governance
Soft skills
problem-solvingcommunication
Certifications
B.E.B.TechM.E.M.Tech
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