IN_Senior Associate__Snowflake Developer_Data & Analytics_Advisory_Bangalore

PwC · Bengaluru Millenia

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 
.
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…. 

 

Responsibilities: 

 

Knowledge of SQL language and cloud-based technologies 

  • Data warehousing concepts, data modeling, metadata management 

  • Data lakes, multi-dimensional models, data dictionaries 

  • Migration to AWS or Azure Snowflake platform 

  • Performance tuning and setting up resource monitors 

  • Snowflake modeling – roles, databases, schemas 

  • SQL performance measuring, query tuning, and database tuning 

  • ETL tools with cloud-driven skills 

  • Integration with third-party tools 

  • Ability to build analytical solutions and models 

  • Coding in languages like Python 

  • Hadoop, Spark, and other warehousing tools 

  • Managing sets of XML, JSON, and CSV from disparate sources 

  • Snowflake warehousing, architecture, processing, administration 

  • Data ingestion into Snowflake 

  • Enterprise-level technical exposure to Snowflake applications 

  • Proven track record of data migration and optimization within Snowflake 

  • Ability to translate business needs into technical specifications 

  • Design and implement scalable and efficient data storage solutions using Snowflake. 

  • Write, optimize, and troubleshoot SQL queries within the Snowflake environment. 

  • Integrate Snowflake with various data sources and third-party tools. 

  • Ensure data security and compliance with industry standards. 

  • Collaborate with cross-functional teams to meet data-driven business objectives. 

  • Stay updated with the latest Snowflake features and best practices. 

  • Proficient in SQL and familiar with ETL processes 

  • Experience with data modeling and cloud computing environments 

  • Hands-on experience with Snowflake features like Time Travel and Zero-Copy Cloning 

  • Understanding of data compliance and security best practices 

  • Experience in performance tuning and cost optimization in a cloud data platform 

  • Familiarity with BI tools integration, such as Tableau. 

Mandatory skill sets: 

 

Snowflake & SQL 

Preferred skill sets: 

 

Snowflake & SQL 

Years of experience required: 

 

3-10 Years 

Education qualification: 

 

BE, B.Tech, MCA, M.Tech 

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

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

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Dialectical Behavior Therapy (DBT), Snowflake GenAI

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

Available for Work Visa Sponsorship?

Government Clearance Required?

Job Posting End Date

July 3, 2026

Analytics pay context

Based on 924 disclosed Analytics salaries on RoleSuite, the role pays a median of $122K/year, with most offers between $101K and $157K (10th–90th percentile: $85K–$195K).

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