Job Description

Line of Service Advisory
Industry/Sector Not Applicable
Specialism Data, Analytics & AI
Management Level Senior Associate
& 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 .
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.
& Summary: We are looking for a highly skilled and experienced Data Engineer with deep expertise in dbt Core, Jinja templating, and modern data warehousing (preferably Snowflake). The ideal candidate will have a strong understanding of data modeling, transformation pipelines, and dbt internals, including custom materializations and macros.
Responsibilities:
You will work on: 5-10 years of experience in data engineering or analytics engineering roles. Strong hands-on experience with dbt Core (not just dbt Cloud). Must have 2-3 years strong Hands-On on dbt Core Deep understanding of dbt internals, including how dbt compiles SQL, manages state, and executes runs. Proficiency in Jinja templating and writing custom macros. Experience with custom materializations and advanced dbt configurations. Solid understanding of data modeling concepts (star/snowflake schema, normalization/denormalization). Proficient in SQL and performance tuning. Familiarity with CI/CD practices and tools like dbt Cloud/CLI, Git, dbt artifacts, and dbt tests. Experience working in agile teams and collaborating across functions.
Mandatory skill sets:
dbt (Data Build Tool) SQL Data Modelling Data Warehouse experience
Preferred skill sets:
: Airflow (Workflow Orchestration) Python (Scripting, Data Manipulation) CI/CD (Git, Jenkins, Azure DevOps, etc.) PL/SQL
Years of experience required:
Experience: 5 - 10 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, Bachelor of Technology
Degrees/Field of Study preferred:
Certifications (if blank, certifications not specified)
Required Skills Data Modeling
Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, 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, Data Modeling, Data Pipeline {+ 27 more}
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Available for Work Visa Sponsorship?
Government Clearance Required?
Job Posting End Date

Skills Required