Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data, Analytics & AIManagement Level
ManagerJob 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.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.
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.
Responsibilities:
• 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
Required Qualifications: • 5+ years of experience with SnapLogic in enterprise-level data integration projects • 6+ years of experience with ETL pipeline development and data warehousing • Strong proficiency in SQL (performance tuning, complex joins, stored procedures, etc.) • 3+ years of hands-on experience with Databricks (Spark, Delta Lake, etc.) • Solid understanding of cloud data ecosystems and data modeling principles • Excellent problem-solving and communication skills
Preferred / Nice-to-Have Skills: • Experience with Python for scripting or data processing tasks • Familiarity with CI/CD practices • Knowledge of data governance, privacy, and compliance best practices
SAC JD: • Solution Design & Development: o Design, develop, and implement SAP SAC solutions. o Create data models, stories, and dashboards in SAC. o Develop custom SAC applications using scripting and advanced analytics features. • Data Integration & Management: o Integrate SAC with various data sources including SAP HANA, BW, S/4HANA, and other external sources. o Ensure data accuracy, consistency, and quality in SAC solutions.
Stakeholder Collaboration: o Work closely with business stakeholders to gather requirements and translate them into technical specifications. o Collaborate with cross-functional teams to deliver end-to-end analytics solutions. • Performance Optimization: o Optimize SAC solutions for performance and scalability. o Troubleshoot and resolve issues related to SAC solutions. • Documentation & Training: o Document SAC solutions, including data models, design specifications, and user manuals. o Provide training and support to end-users and other team members. • 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.
Mandatory skill sets:
QA Automation Lead
Preferred skill sets (Good to Have):
QA Automation Lead
Years of experience required:
8+ years
Education qualification:
BE/B.Tech/MBA/MCA
Education (if blank, degree and/or field of study not specified)
Degrees/Field of Study required: Master of Business Administration, Bachelor of EngineeringDegrees/Field of Study preferred:Certifications (if blank, certifications not specified)
Required Skills
QA AutomationOptional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Coaching and Feedback, 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 {+ 43 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 19, 2026