In_senior Associate_data Engineer(azure Databricks)_d&a_advisory_mumbai

Senior Associate, Data, Analytics & AI

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.

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:

As a Senior Associate, you will take ownership of designing and delivering complex data engineering solutions across cloud and on-premise environments. You'll lead the technical delivery of ETL/ELT frameworks, data lakes, and data warehouses, leveraging Databricks, Azure, and modern data engineering best practices. You will also mentor junior team members and contribute to solution architecture.

Roles & Responsibilities:

• Lead design and development of end-to-end data pipelines using PySpark, SQL, and Azure Databricks.
• Build and optimize data lakes and data warehouse solutions.
• Implement data ingestion, transformation, and orchestration using tools like Azure Data Factory or Apache Airflow.
• Translate business requirements into technical specifications and ensure alignment with data strategy.
• Conduct code reviews, performance tuning, and pipeline optimization.
• Collaborate with cross-functional teams (data science, BI, and architecture) to enable advanced analytics.
• Mentor Associates and support delivery excellence through documentation and process improvements.

Skills Required:

• 4–7 years of experience in data engineering, with strong proficiency in PySpark, SQL, and Python.
• Expertise in Azure (Data Factory, Databricks, Synapse, ADLS) or other cloud platforms.
• Strong understanding of Data Warehouse, Data Lake, and ETL architecture.
• Proficiency in query optimization, data modeling, and performance tuning.
• Experience working with version control (Git) and CI/CD pipelines.
• Exposure to data governance, security, and metadata management.
• Knowledge of Snowflake, AWS Redshift, or BigQuery is a plus.
• Strong communication and client-interaction skills.

Mandatory skill sets:

Data Engineer/Azure Databricks/Pyspark

Preferred skill sets:

Data Engineer/Azure Databricks/Pyspark

Years of experience required:

4-7 Years

Education qualification:

Bachelor of Engineering, Bachelor of Technology

Required Skills:

Databricks Platform

Optional Skills:

Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, 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, Geopolitical Forecasting {+ 24 more}

Desired Languages:

Travel Requirements:

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date: