IN_Senior Associate_Gen AI_GCC_Advisory_Bangalore
Price Waterhouse Cooper LLP
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Job summary
PwC is seeking a Senior Data Engineer in Bengaluru to design and optimize data pipelines using SnapLogic and SQL. You will work with large-scale data warehouses, Databricks, and SAP SAC technologies to deliver data-driven insights.
You will collaborate with analytics teams and business stakeholders, ensuring data quality and governance while contributing to scalable data solutions across cloud environments.
Qualifications
- We are seeking a Senior Data Engineer with expertise in SnapLogic, SQL, ETL pipelines and data warehousing.
- You should have 3+ years hands-on experience with Databricks across cloud and big data environments.
- Excellent knowledge of SAP SAC including data modeling, connectivity, and dashboard development.
Responsibilities
- Design, build, and maintain data integration and ETL pipelines using SnapLogic.
- Develop and optimize complex SQL queries to support analytics and reporting.
- Work with large-scale data warehouse environments and structured/unstructured data.
- Leverage Databricks for advanced data processing, transformation, and analytics.
- Collaborate with data analysts/scientists and stakeholders to gather requirements.
- Ensure data quality, integrity, and governance across platforms.
- Create documentation for data workflows, architecture, and processes.
Skills
Education
Tools
Job description
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.
AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more
AtPwC, 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. "
We are looking for a Senior Data Engineer with deep experience in SnapLogic,SQL, ETL pipelines, and data warehousing, along with at least 3-4 years of hands-on experience with Databricks. The ideal candidate has a strong background in designing scalable data solutions and working across cloud and big data environments. Familiarity with Python is a strong plus.
- Design, build, and maintain data integration and ETL pipelines using SnapLogic
- Develop and optimize complex SQL queries to support business analytics and reporting
- Work with structured and unstructured data in large-scale data warehouse environments
- Leverage Databricks for advanced data processing, transformation, and analyticsCollaborate with data analysts, data scientists, and business stakeholders to gather and understand data requirements Ensure data quality, integrity, and governance across platforms
- Create clear documentation for data workflows, architecture, and processes
- Participate in code reviews and promote best practices in data engineering
Advisory
Not Applicable
Data, Analytics & AI
Senior Associate
- Proficiency in SAP SAC, including data modeling, story creation, and dashboard development.
- Strong understanding of SAC data connectivity options and integration with various data sources.
- Experience with SAP HANA, SAP BW, and S/4HANA.
- Proficient in SAC scripting and advanced analytics capabilities.
- Solid understanding of data visualization principles and best practices
- Experience with Python for scripting or data processing tasks
- Familiarity with CI/CD practices
- Knowledge of data governance, privacy, and compliance best practices
3 + Years
BE/B.Tech/MBA/MCA
(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:
(if blank, certifications not specified)
Generative AI
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, 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 {+ 41 more}
(If blank, desired languages not specified)
Not Specified
No
No
August 20, 2026
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.
AtPwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes forour 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 foreach other. Learn more
AtPwC, 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. "
We are looking for a Senior Data Engineer with deep experience in SnapLogic,SQL, ETL pipelines, and data warehousing, along with at least 3-4 years of hands‑on experience with Databricks. The ideal candidate has a strong background in designing scalable data solutions and working across cloud and big data environments. Familiarity with Python is a strong plus.
- Design, build, and maintain data integration and ETL pipelines using SnapLogic
- Develop and optimize complex SQL queries to support business analytics and reporting
- Work with structured and unstructured data in large-scale data warehouse environments
- Leverage Databricks for advanced data processing, transformation, and analytics
- Collaborate with data analysts, data scientists, and business stakeholders to gather and understand data requirements Ensure data quality, integrity, and governance across platforms
- Create clear documentation for data workflows, architecture, and processes
- Participate in code reviews and promote best practices in data engineering
Advisory
Not Applicable
Data, Analytics & AI
Senior Associate
- Proficiency in SAP SAC, including data modeling, story creation, and dashboard development.
- Strong understanding of SAC data connectivity options and integration with various data sources.
- Experience with SAP HANA, SAP BW, and S/4HANA.
- Proficient in SAC scripting and advanced analytics capabilities.
- Solid understanding of data visualization principles and best practices
- Experience with Python for scripting or data processing tasks
- Familiarity with CI/CD practices
- Knowledge of data governance, privacy, and compliance best practices
3 + Years
BE/B.Tech/MBA/MCA
(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:
(if blank, certifications not specified)
Generative AI
Accepting Feedback, Accepting Feedback, Active Listening, AI Fluency, AI-Human Collaboration, 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 {+ 41 more}
(If blank, desired languages not specified)
Not Specified
No
No
August 20, 2026
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