In - senior Associate – Azure Data Engineer – D&a_advisory –kolkata

Data Engineer – Microsoft Fabric, Azure (Databricks & ADF), PySpark

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilize advanced analytics techniques to help clients optimize their operations and achieve their strategic goals. In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimize business performance and enhance competitive advantage.

At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programs, and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other.

Responsibilities:

Job Description (JD) Azure Data Engineering role focused on Microsoft Fabric (good to have), Azure Databricks with PySpark (must have) capabilities and strong emphasis on Python, SQL, Data Lake, and Data Warehouse:

Job Title: Data Engineer – Microsoft Fabric, Azure (Databricks & ADF), PySpark

Experience: 5–8 Years

Location: Kolkata / Bangalore

Employment Type: Full-Time

Job Summary: We are looking for a skilled and experienced Data Engineer with 5-8 years of experience in building scalable data solutions on the Microsoft Azure ecosystem. The ideal candidate must have strong hands-on experience with Microsoft Fabric, Azure Databricks along with strong PySpark, Python and SQL expertise. Familiarity with Data Lake, Data Warehouse concepts, and end-to-end data pipelines is essential.

Key Responsibilities:

• Requirement gathering and analysis
• Experience with different databases like Synapse, SQL DB, Snowflake etc.
• 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
• Ability to work with a variety of sources like Relational DB, API, File System, Realtime streams, CDC etc.
• Strong knowledge on Databricks, Delta tables

Required Skills:

• 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).
• Hands on experience in performance tuning & optimization on Databricks & MS Fabric.
• Ensure alignment with overall system architecture and data flow.
• 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.

Good to Have:

• Experienced in Azure DevOps.
• Knowledge of Scala or other distributed processing frameworks.
• Familiarity with data security and compliance in the cloud.
• Experience in leading a development team.

Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills: Microsoft Azure

Optional Skills: Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}