HR Intern

IN_Senior Associate_Snowflake Senior Data Engineer_GCC_Advisory_Bangalore Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, we focus on nurturing and developing individuals across our entry level careers programmes, providing them with opportunities to start their professional journey. We offer various entry-level positions and programmes for individuals to gain valuable experience and grow their skills. As an intern at PwC, you will get hands-on experience and exposure to various industries, allowing you to develop your skills and gain valuable insights into the world of professional services. In your internship, you will have the opportunity to work alongside experienced professionals and contribute to real client projects. • 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 experienced and passionate Snowflake Data Engineers to join our data engineering team. The ideal candidate will have strong expertise in Snowflake , SQL , Data Modelling , AWS – Glue, Lambda, Step Functions and Python , along with exposure to modern data orchestration and cloud platforms. Responsibilities: You will work on: Develop ETL/ELT pipelines using AWS services such as Glue, Step Functions, Lambda, and DMS. Design, develop, and optimize data pipelines and data models in Snowflake . Implement and maintain DBT workflows for data transformation and modeling. Write efficient and scalable SQL queries for data extraction and reporting. Collaborate with data analysts, scientists, and business stakeholders to understand data requirements. Integrate data from various sources using Python . Orchestrate workflows using Apache Airflow or similar tools Ensure data quality, integrity, and governance across the pipeline. Work with CI/CD tools to automate deployment and testing of data workflows. Optimize performance and cost of Snowflake workloads. Leverage cloud services from AWS for scalable data solutions. Primary Skills: Snowflake SQL Data Modelling Python (Scripting, Data Manipulation) AWS – Glue, Lambda, Step Functions Secondary Skills: Airflow (Workflow Orchestration) CI/CD (Git, Jenkins, Azure DevOps, etc.) PL/SQL, Teradata (for legacy support) DBT (Data Build Tool) Mandatory skill sets: Snowflake SnowPro Core certification Preferred skill sets: Analytical mindset with strong problem-solving ability Years of experience required: Experience: 5 – 8 Years Education Qualification : BTECH Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required:Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, AI Fluency, AI-Human Collaboration, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake {+ 30 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 October 24, 2025 Experience Level Senior Level