IN_Senior Associate_Data Modelling

Line of Service

Industry/Sector

Specialism

Management Level

Job Description & Summary

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, powe'red 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 we'llbeing, 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 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)

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship

Government Clearance Required

Job Posting End Date