Real job — pulled straight from PwC’s careers page · Verified June 9, 2026 · No reposts.
Job description
PwC is hiring a Senior AI/ML Engineer — a full-time, based in Bengaluru, India role. Apply directly on PwC's careers page below.
IN_Manager_ Snowflake Data Engineer_Data & Analytics_Advisory_Bangalore
Location: Bengaluru Millenia
Time Type: Full time
Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob 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.Those in artificial intelligence and machine learning at PwC will focus on developing and implementing advanced AI and ML solutions to drive innovation and enhance business processes. Your work will involve designing and optimising algorithms, models, and systems to enable intelligent decision-making and automation.
Job Description & Summary: 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 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.
Job Position Title:
Manager_ Snowflake Data Engineer__ Data & Analytics _ Advisory _Bangalore
Responsibilities:
Position: Snowflake Data Engineer / Manager
Experience: 8-11 Years
Location: Bangalore
Type: Full Time
Certifications: SnowPro Core(mandatory), SnowPro .
Job Description & summary:
We are seeking an experienced Snowflake DE with over 4-8 years of experience specializing in data services, and data platforms. The ideal candidate should have a strong background in designing and implementing scalable data solutions on Snowflake. Candidate should have hands-on knowledge working with Snowflake keeping aligned with latest trends in Snowflake.
Responsibilities:
Design, develop, and implement Snowflake-based data solutions.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Optimize and tune Snowflake environments for performance and cost efficiency.
Develop and enforce best practices for data governance, security, and compliance.
Integrate Snowflake with other data tools and platforms.
Monitor and troubleshoot data pipelines and workflows.
Stay updated with the latest trends and advancements in Snowflake and cloud data warehousing.
Required Skills:
Extensive experience with Snowflake and data warehousing.
Proficiency in SQL and performance tuning.
Proficiency in PySpark/Python/Snowpark
Experience with working with dbt (Data Build Tool)
Strong understanding of ETL/ELT processes and tools.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Knowledge of data modeling, data integration, and data migration.
Familiarity with data governance, security, and compliance best practices.
Excellent problem-solving and analytical skills.
Strong communication and collaboration skills.
Preferred Qualifications:
Proficiency in SQL and performance tuning.
Proficiency in PySpark/Python/Snowpark
Experience with working with dbt (Data Build Tool)
Strong understanding of ETL/ELT processes and tools.
Mandatory skill sets:
Design, develop, and implement Snowflake-based data solutions.
Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
Optimize and tune Snowflake environments for performance and cost efficiency.
preferred skill sets :
Extensive experience with Snowflake and data warehousing.
Proficiency in SQL and performance tuning.
Years of experience required:
Experience: 8-11 Years
Education qualification:
B.Tech / M.Tech / MCA/MBA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering, Master of Engineering, MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
Snowflake (Platform)Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, AI Implementation, Analytical Thinking, C++ Programming Language, Coaching and Feedback, Communication, Complex Data Analysis, Creativity, Data Analysis, Data Infrastructure, Data Integration, Data Modeling, Data Pipeline, Data Quality, Deep Learning, Embracing Change, Emotional Regulation, Empathy, GPU Programming, Inclusion, Intellectual Curiosity, Java (Programming Language), Learning Agility {+ 30 more}Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship?
NoGovernment Clearance Required?
NoJob Posting End Date
May 22, 2026Get Ai/ml Engineer jobs like this→
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Frequently asked questions
What skills are required for Senior AI/ML Engineer at PwC?
The required skills for Senior AI/ML Engineer at PwC include: Python, LangChain, Spark, Git, MLflow, Go, Rust, Microservices, Terraform, CloudFormation, GitHub Actions, Jenkins, Kubernetes, Helm, FastAPI, AWS, GCP, Azure, SQL, PyTorch, TensorFlow, LLM, RAG.
What is the seniority level for Senior AI/ML Engineer at PwC?
Senior AI/ML Engineer at PwC is a Senior / Mid Level level position.
How do I apply for Senior AI/ML Engineer at PwC?
You can view the full description and apply for Senior AI/ML Engineer at PwC on EchoJobs: https://echojobs.io/job/pwc-in-senior-associate-ai-ml-engineer-data-analytics-advisory-bangalore-cvr63.