IN_Senior Associate_Azure _D&A _Advisory _Bangalore

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Senior Associate

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise 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 optimise business performance and enhance competitive advantage.

Why PWC

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 programmes 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. Learn more about us

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At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations.

Responsibilities:

Job Description (JD) tailored for a Data Engineering role focused on Azure Databricks / ADF / Synapse, with strong emphasis on Python, SQL, Data Lake, and Data Warehouse:

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 Azure Databricks, Azure Data Factory (ADF), or Azure Synapse Analytics, along with Python and SQL expertise. Familiarity with Data Lake, Data Warehouse concepts, and end-to-end data pipelines is essential.

Responsibilities:

· Design, develop, and maintain scalable data pipelines using Azure data services such as Azure Data Factory and Apache Spark.

· Implement efficient Extract, Transform, Load (ETL) processes to move and transform data across various sources.

· Design, develop, and maintain data solutions using Azure Synapse Analytics.

· Implement data ingestion, transformation, and extraction processes using Azure Synapse Pipelines.

· Knowledge about data warehousing concepts

· Utilize Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage, and other Azure data services to store and retrieve data.

· Performance optimization and troubleshooting capabilities

· Advanced SQL knowledge, capable to write optimized queries for faster data workflows.

· Proven work experience in Spark, Python, SQL, Any RDBMS.

· Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS

· Must be extremely well versed with handling large volume data and work using different tools to derive the required solution.

Required Skills:

· 4–8 years of experience in Data Engineering or related roles.

· Hands-on experience in ADF, or Synapse Analytics

· Proficiency in Python for data processing and scripting.

· Strong command over 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).

· Understanding CI/CD practices in a data engineering context.

· Excellent problem-solving and communication skills.

Good to Have:

· Experienced in Delta Lake, Power BI, or Azure DevOps.

· Knowledge of Databricks will be a plus

· Knowledge of Spark, Scala, or other distributed processing frameworks.

· Exposure to BI tools like Power BI, Tableau, or Looker.

· Familiarity with data security and compliance in the cloud.

· Experience in leading a development team.

Mandatory skill sets:

Data Modelling, IICS/any leading ETL tool, SQL

Preferred skill sets:

Python

Years of experience required:

7 – 10 yrs

Education qualification:

Btech/MBA/MCA

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), Bachelor of Technology

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Data Modeling

Optional Skills

Accepting Feedback, 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}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date