{bc}
workday

IN_Senior Associate_Azure Data EngineXer with Microsoft Fabric Analytics Engineer_GCC_Advisory_Bangalore

PwC
Bengaluru, IND
Full-time
Senior · 5+ years experience
Discovered 1 weeks ago
airflowawsazureazure-data-factorydatabricksdelta-lake

Full Job Posting

Responsibilities:

  • Position: Azure Data Engineer / Microsoft Fabric Analytics Engineer
  • Experience: 5+ Years
  • Location: Bangalore
  • Type: Full Time
  • Certifications: Azure Data Engineer Associate (DP-203),
  • Microsoft Fabric Analytics Engineer Associate (DP-600 / DP-700) – Preferred
  • Design, develop, and maintain end-to-end data pipelines and data integration solutions using Azure Data Factory and Microsoft Fabric.
  • Build and optimize Lakehouse and Data Warehouse solutions within Microsoft Fabric.
  • Develop data transformation logic using PySpark, Spark SQL, and Python.
  • Implement medallion architecture (Bronze, Silver, Gold) for data lake solutions.
  • Create and manage data models, semantic models, and datasets for reporting and analytics.
  • Ensure data quality, consistency, and security across all data platforms.
  • Monitor, troubleshoot, and optimize data pipeline performance.
  • Collaborate with data architects, data scientists, analysts, and business stakeholders to understand data requirements.
  • Implement data governance policies and best practices.
  • Document technical designs, data flows, and solution architectures.
  • Stay updated with the latest Azure and Microsoft Fabric features and best practices.
  • Mandatory skill sets

About the Role:

We are seeking an experienced Azure Data Engineer / Microsoft Fabric Analytics Engineer to join our data engineering team. The ideal candidate will have a strong background in designing, building, and maintaining scalable data solutions using Azure Data Services and Microsoft Fabric. You will work closely with cross-functional teams to deliver high-quality data platforms that drive business insights and decision-making.

Key Responsibilities:

Design, develop, and maintain end-to-end data pipelines and data integration solutions using Azure Data Factory and Microsoft Fabric.

Build and optimize Lakehouse and Data Warehouse solutions within Microsoft Fabric.

Develop data transformation logic using PySpark, Spark SQL, and Python.

Implement medallion architecture (Bronze, Silver, Gold) for data lake solutions.

Create and manage data models, semantic models, and datasets for reporting and analytics.

Ensure data quality, consistency, and security across all data platforms.

Monitor, troubleshoot, and optimize data pipeline performance.

Collaborate with data architects, data scientists, analysts, and business stakeholders to understand data requirements.

Implement data governance policies and best practices.

Document technical designs, data flows, and solution architectures.

Stay updated with the latest Azure and Microsoft Fabric features and best practices.

Mandatory skill sets:

Required Skills:

  • 5+ years of hands-on experience in data engineering and analytics.
  • Proficiency in Azure Data Services including:
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Data Lake Storage (ADLS Gen2)
  • Azure SQL Database
  • Proficiency in Microsoft Fabric workloads:
  • Data Engineering (Lakehouse, Notebooks)
  • Data Warehouse
  • Data Pipelines
  • OneLake
  • Strong programming skills in PySpark, Spark SQL, Python, and SQL.
  • Experience with data modeling (dimensional modeling, star/snowflake schemas).
  • Knowledge of ETL/ELT design patterns and best practices.
  • Experience with Delta Lake and lakehouse architecture.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent communication and collaboration skills.
  • Preferred skill sets:
  • Microsoft Certified: Azure Data Engineer Associate (DP-203).
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
  • Experience with Databricks and Delta Lake.
  • Experience with Power BI for data visualization and reporting.
  • Knowledge of CI/CD pipelines for data engineering (Azure DevOps, Git).
  • Experience working in Agile/Scrum environments.
  • Exposure to data quality frameworks and tools.
  • Years of experience required:

Experience

  • 5+ years
  • Location: Bangalore
  • Type: Full Time
  • Certifications: Azure Data Engineer Associate (DP-203),
  • We are seeking an experienced Azure Data Engineer / Microsoft Fabric Analytics Engineer to join our data engineering team. The ideal candidate will have a strong background in designing, building, and maintaining scalable data solutions using Azure Data Services and Microsoft Fabric. You will work closely with cross-functional teams to deliver high-quality data platforms that drive business insights and decision-making.
  • 5+ years of hands-on experience in data engineering and analytics.
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Data Lake Storage (ADLS Gen2)
  • Azure SQL Database
  • Data Engineering (Lakehouse, Notebooks)
  • Data Warehouse
  • Data Pipelines
  • OneLake
  • Strong programming skills in PySpark, Spark SQL, Python, and SQL.
  • Experience with data modeling (dimensional modeling, star/snowflake schemas).
  • Knowledge of ETL/ELT design patterns and best practices.
  • Experience with Delta Lake and lakehouse architecture.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent communication and collaboration skills.
  • Microsoft Certified: Azure Data Engineer Associate (DP-203).
  • Microsoft Certified: Fabric Analytics Engineer Associate (DP-600).
  • Experience with Databricks and Delta Lake.
  • Experience with Power BI for data visualization and reporting.
  • Knowledge of CI/CD pipelines for data engineering (Azure DevOps, Git).
  • Experience working in Agile/Scrum environments.
  • Exposure to data quality frameworks and tools.
  • Years of experience required
  • BE, B.Tech, ME, M,Tech, MBA, MCA (60% above)
  • Education (if blank, degree and/or field of study not specified)
  • Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering
  • Certifications (if blank, certifications not specified)
  • Mobile Device Management (MDM)
  • Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake {자세히(30)}
  • Travel Requirements
  • Not Specified
  • Available for Work Visa Sponsorship?
  • No
  • Government Clearance Required?
  • Job Posting End Date
  • May 18, 2026

Education qualification:

  • Degrees/Field of Study preferred:

Required Skills

  • Mobile Device Management (MDM)
  • Optional Skills
  • Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake {자세히(30)}
  • Desired Languages (If blank, desired languages not specified)
  • Travel Requirements
  • Not Specified
  • Available for Work Visa Sponsorship?
  • No
  • Government Clearance Required?
  • Job Posting End Date
  • May 18, 2026

Preferred Qualifications

  • Microsoft Fabric Analytics Engineer Associate (DP-600 / DP-700) – Preferred
  • Optional Skills
  • Desired Languages (If blank, desired languages not specified)

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at PwC