IN-Sr Associate_Senior Data Engineer (Snowflake)_D&A_Advisory_Gurgaon

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. " Job Description & Summary:    We are seeking a skilled Data Engineer to build and manage scalable data pipelines integrating Salesforce and multiple source systems into Snowflake , and enable high-quality, AI-ready data delivery back to downstream applications including Salesforce.     Why Join Us?   Work on a high-impact data transformation and AI readiness program   Exposure to modern data stack (Snowflake + Salesforce ecosystem)   Opportunity to shape enterprise-wide data integration architecture   Responsibilities:   Data Integration: Design and develop robust pipelines to integrate source systems into Snowflake.   Pipeline Development: Build scalable ELT pipelines using Snowflake, SQL, and tools like ADF/DBT/Informatica.   Data Movement: Enable bi-directional data flow between Snowflake and Salesforce.   Performance Optimization: Optimize pipelines and Snowflake workloads for performance, cost, and scalability .   Data Quality: Implement validation, monitoring, and error-handling mechanisms to ensure data reliability .   Collaboration: Work closely with Data Modelers and Business Analysts to support AI/ML use cases and analytics .   Automation: Implement CI/CD pipelines and workflow orchestration for data processes.     Mandatory skill sets:       Technical Skills & Qualifications   Strong experience with Snowflake, SQL, and data pipeline development   Hands-on experience with ETL/ELT tools      Preferred skill sets:     Knowledge of cloud platforms (Azure/AWS)   Proficiency in Python   Experience handling multi-source data integration and large datasets   Years of experience required:     7+ Years   Education qualification:     BE, B.Tech , ME, M,Tech , MBA, MCA (60% above)     Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor of Engineering, MBA (Master of Business Administration), Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills AWS Database Migration Service (DMS),