PwC

IN_Senior Associate_ Snowflake Senior Data Engineer_Data and Analytics_Advisory_Bangalore

PwC · Bengaluru, Karnataka, India

Professional Services · 10,001+ employees

Yesterday
Senior (5-10 yrs) Full-time India
Log in to apply, save this posting, or score it against your profile with AI.

About the role

Design, develop, and optimize data pipelines and models within Snowflake while implementing DBT workflows for transformation. Collaborate with stakeholders to integrate data from various sources using Python and orchestrate workflows via Apache Airflow.

What they look for

Snowflake SQL Data Modelling Python AWS Glue AWS Lambda AWS Step Functions DBT Apache Airflow CI/CD Data Pipeline Design SnowPro Core Certification

Requirements

Requires 5 to 8 years of experience with strong expertise in Snowflake, SQL, Python, and AWS cloud services. A SnowPro Core certification is mandatory, and a degree in Engineering or an MBA is required.

Benefits

Inclusive Benefits Flexibility Programmes Mentorship

Full 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 focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.

In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems.

*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:

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 (if blank, degree and/or field of study not specified)

Degrees/Field of Study required: MBA (Master of Business Administration), Master of Engineering, Bachelor of Engineering

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

AWS Database Migration Service (DMS), Database Modeling, Snowflake Data Warehouse

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, Data-Driven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

July 25, 2026