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

AzureETLPySparkPythonScalaSQLTableau

About the role

  • 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
  • Work with databases like Synapse, SQL DB, Snowflake
  • Implement data security and governance measures
  • Monitor and optimize data pipelines for performance and efficiency
  • Troubleshoot and resolve data engineering issues
  • Provide optimized solutions for data engineering problems
  • Work with a variety of sources: relational DBs, APIs, file systems, real-time streams, CDC
  • Ensure alignment with overall system architecture and data flow
  • Collaborate with teams and potentially lead development efforts

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
  • Experience working with Azure Data Lake Storage
  • Experience with Data Warehouse concepts (dimensional modeling, star/snowflake schemas)
  • Experience with databases like Synapse, SQL DB, Snowflake
  • Experience designing and implementing data pipelines using Microsoft Fabric & Databricks
  • Experience with ETL and Azure Data Factory (ADF)
  • Hands on experience in performance tuning & optimization on Databricks & MS Fabric
  • Understanding of CI/CD practices in a data engineering context
  • Exposure to BI tools like Power BI, Tableau, or Looker
  • Ability to work with various sources: relational DB, API, file systems, realtime streams, CDC
  • Strong knowledge on Databricks, Delta tables
  • Excellent problem-solving and communication skills
  • Good to have: Azure DevOps, Scala or other distributed processing frameworks, data security and compliance, experience leading a development team
  • Education: B.E.(B.Tech)/M.E/M.Tech (Bachelor/Master of Engineering)
Benefits
  • Reward your contributions
  • Support your wellbeing
  • Inclusive benefits
  • Flexibility programmes
  • Mentorship that will help you thrive in work and life

ATS Keywords

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

Hard skills
data engineeringMicrosoft FabricAzure DatabricksPySparkPythonSQLETLAzure Data Lake StorageData Warehouseperformance tuning
Soft skills
problem-solvingcommunicationcollaborationleadership
Certifications
B.E.B.TechM.E.M.Tech
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