IN_Senior Associate_DBT Data Engineer, SQL, Snowflake_Data and Analytics_Advisory_Bangalore
Top focus
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 business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients.
You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage. 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 Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations 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
- About the Role: We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms.
- If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you
What You Will Do
- Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments Write optimized, complex SQL queries for data transformation and analysis in cloud data warehouses Develop efficient Python and PySpark scripts for large-scale data processing and ETL workflows Create and maintain data models in Databricks , ensuring data quality and consistency Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency Implement data governance and security best practices in cloud environments Collaborate across teams to translate business requirements into robust technical solutions Mandatory skill sets: ‘Must have’ knowledge, skills and experiences 5+ years of hands-on experience in Data Engineering Strong command over SQL , Python
- PySpark for data manipulation and analysis Deep experience with data warehousing concepts and implementation in cloud environments ( Azure / AWS ) Proficiency in data modeling techniques for cloud-based systems ( Databricks , Snowflake ) Solid understanding of ETL/ELT processes and best practices in cloud architectures Experience with dimensional modeling, star schemas
- data mart design Strong analytical thinking and problem-solving skills Preferred skill sets: ‘Good to have’ knowledge, skills and experiences Familiarity with data lake architectures and delta lake concepts Familiarity with Snowflake /Databricks Data Warehouse Knowledge of data warehouse migration strategies to cloud Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs) Exposure to data quality and data governance tools and methodologies Understanding of data virtualization and federated query engines Understanding of performance optimization techniques for cloud-based data warehouses Apache Airflow – Workflow orchestration and scheduling Certifications in Azure or AWS or Databricks Years of experience required: 5- 8 years Education qualification: BE, B.Tech, ME, M,Tech, MBA, MCA (60% above ) Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Master of Business Administration, Bachelor of Engineering, Master of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills SAP Business Warehouse Optional Skills Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Applied Macroeconomics, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture Development, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Geopolitical Forecasting {+ 24 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 January 21, 2026