IN_Senior Associate_AI/ML Engineer_Data Analytics_Advisory_Mumbai

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 data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. 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. A Snowflake Developer or Data Engineer is responsible for designing, building, and optimizing cloud-based data warehousing and analytics solutions using the Snowflake platform. Professionals in this role focus on data ingestion, ELT (Extract, Load, Transform) pipeline creation, query performance tuning, and ensuring strict data security and governance. Responsibilities Data Modeling & Architecture: Design and implement robust data models and schemas within Snowflake. Pipeline Development: Build and maintain scalable data pipelines using Snowflake SQL, Snowpipe , Streams, Tasks, Python, or Snowpark. Performance Optimization: Monitor and tune data warehouses, storage, and SQL queries for cost-efficiency and maximum speed. Data Security & Governance: Implement Role-Based Access Control (RBAC), data masking, row-level security, and manage secure data sharing. Integration: Work with cloud environments like AWS, Azure, or GCP and integrate Snowflake with third-party ETL/ELT tools (e.g., dbt , Airflow, Matillio n ). Required Skills & Qualifications Database & SQL Expertise: Deep understanding of relational databases, advanced SQL, and data warehousing principles. Programming Languages: Proficiency in Python or JavaScript is typically required for advanced data transformations and scripting. Cloud Experience: Hands-on experience with major cloud providers (AWS, Microsoft Azure, or Google Cloud Platform). Experience Level: Depending on the specific role, positions typically require between 5 to 8 years of dedicated data engineering or Snowflake-specific experience Mandatory skill sets: S trong hands-on experience in Snowflake (mandatory) Cloud: Azure (mandatory) Programming: Python & SQL (mandatory) Preferred skill sets: Strong hands-on experience in Snowflake (mandatory) Cloud: Azure (mandatory) Programming: Python & SQL (mandatory) Years of experience required: 5 to 8 years Education qualification: B.E, , MCA, M.E, Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, Bachelor of Technology Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Snowflake (Platform) Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Available for Work Visa Sponsorship? Government Clearance Required? Job Posting End Date July 23, 2026