IN-Sr Associate_ Snowflake Data Engineer_ D&A_ Advisory_ Pune

PwC South Africa

Pune District

On-site

Confidential

Full time

3 days ago
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Job summary

PwC is seeking a Senior Associate in Data, Analytics & AI to design and deliver data pipelines, models, and governance that transform raw data into actionable insights. You will work on data ingestion, transformation, and integration using Snowflake, Python, SQL, and BI tools.

You will collaborate with data analysts, BI teams, and business stakeholders to ensure analytics-ready datasets and robust data platforms, aligning with enterprise standards and security policies.

Qualifications

  • Advanced SQL and data warehousing concepts.
  • SCD Type 1 & Type 2 data modeling.
  • ETL/ELT development and data migration.
  • Knowledge of real-time data ingestion and CDC is a plus.
  • DBT and Airflow orchestration experience.

Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines using Snowflake and cloud services.
  • Build and optimize Snowflake databases, schemas, tables, views, stages, file formats, streams, tasks, and stored procedures.
  • Implement data ingestion frameworks using Snowpipe, COPY INTO, CDC, Streams, and Tasks.
  • Develop transformation logic using SQL, DBT, and Python.
  • Collaborate with business stakeholders and BI teams to deliver analytics-ready datasets.

Skills

Advanced SQL
Data Warehousing
ETL/ELT Development
Data Modeling
Python

Education

Bachelor of Engineering
Master's Degree

Tools

Snowflake
DBT
Airflow
Power BI
Tableau

Job description

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 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: A career within…. A career within Data and Analytics services will provide you with the opportunity to help organizations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organizational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organizations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge.

Responsibilities:
  • Design, develop, and maintain ETL/ELT pipelines using Snowflake and cloud services.
  • Build and optimize Snowflake databases, schemas, tables, views, stages, file formats, streams, tasks, and stored procedures.
  • Implement data ingestion frameworks using Snowpipe, COPY INTO, CDC, Streams, and Tasks.
  • Develop transformation logic using SQL, DBT, and Python.
  • Perform data migration from legacy platforms (Oracle, SQL Server, etc.) to Snowflake.
  • Design and maintain Bronze, Silver, and Gold data layers.
  • Implement security controls including RBAC, row-level security, masking policies, and governance standards.
  • Optimize Snowflake warehouse performance, query execution, clustering, and cost utilization.
  • Support reporting and analytics platforms such as Power BI and Tableau.
  • Perform source-to-target validation, data reconciliation, and data quality checks.
  • Collaborate with business stakeholders, Data Analysts, and BI teams to deliver analytics-ready datasets.

Mandatory skill sets: Advanced SQL Data Warehousing Concepts SCD Type 1 & Type 2 Data Modeling ETL/ELT Development Data Migration

Preferred skill sets: Knowledge of real-time data ingestion and CDC. Experience with DBT and Airflow orchestration.

Years of experience required: 4-8

Education Details B.Tech / M.Tech / MBA / MCA Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: Master Degree, Bachelor of Engineering

Degrees/Field of Study preferred: Certifications (if blank, certifications not specified)

Required Skills React.js 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 Development, 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 Not Specified

Available for Work Visa Sponsorship? No

Government Clearance Required? No

Job Posting End Date April 14, 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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