IN-Sr Associate_Databricks Engineer _D&A _Advisory _Mumbai at pwc

Mumbai City, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

06 Sep, 26

Salary

0.0

Posted On

08 Jun, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

PySpark, Databricks, Apache Spark, SQL, ETL/ELT Pipelines, Unity Catalog, Delta Tables, DLT, Azure Data Lake, AWS S3, Git, Airflow, Azure Data Factory, Data Warehousing, Business Intelligence, GCP Dataflow

Industry

Professional Services

Description

Line of Service Advisory Industry/Sector FS X-Sector 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 . 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: Minimum 5 years of professional experience with working knowledge in a Data and Analytics role with a Global organization -5 to 8 years of experience in working with Databricks tech stacks -Experience in leading development of Data and Analytics products, from Requirement Gathering State to Driving User Adoption -Develop and optimize ETL processes using Databricks and related tools like Apache Spark -Design efficient data processing systems and pipelines using Databricks, APIs, and other cloud services -Candidate with strong data transformation experience on Unity Catalog, Delta Tables, DLT -Strong proficiency in writing and optimizing SQL queries and working with databases -Ability to acquire specialized domain knowledge required to be more effective in all work activities -BI & Data-warehousing concepts are a must. -Design, develop, and maintain scalable ETL/ELT pipelines using PySpark on Databricks. -Ingest and transform data from multiple structured and unstructured sources including cloud storage (Azure Data Lake, AWS S3, etc.). -Optimize Spark jobs for performance and cost-efficiency on the Databricks platform. -Collaborate with data scientists, analysts, and stakeholders to understand data requirements and deliver high-quality solutions. -Implement best practices in data engineering, including modular coding, unit testing, and version control (e.g., Git). -Automate data workflows and schedule jobs using Databricks Workflows or external orchestration tools (e.g., Airflow, Azure Data Factory). -Ensure data quality, integrity, and governance in all data pipelines. -Participate in code reviews, performance tuning, and system monitoring. -Document solutions, processes, and configurations. Mandatory skill sets: Pyspark, Databricks Preferred skill sets: Databricks, Apache Spark 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: Bachelor of Engineering, MBA (Master of Business Administration) Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills GCP Dataflow Optional Skills Accepting Feedback, 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 Development, 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 (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date April 12, 2026 Are you ready to make a difference? Want to unlock new value by applying your unique perspective and talents? You can grow exponentially at PwC. Here, you can uncover hidden talents, build lifelong relationships rooted in trust and empathy and turn challenges into opportunities for innovation. We’ll help you grow your skills through challenging, meaningful work so you can go further.

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Responsibilities

Design, develop, and optimize scalable ETL/ELT pipelines using PySpark and Databricks to drive strategic business insights. Collaborate with stakeholders to ingest data from multiple cloud sources while ensuring data quality and governance.