Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions. *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: 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: MBA (Master of Business Administration), Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Full Stack Development 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, Coaching and Feedback, 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 {+ 35 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 May 22, 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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