IN_Associate_Python_Data & Analytics

Specialism

Management Level

& Summary

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 purposeled and valuesdriven 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 .

We are looking for a Senior Data Engineer with deep experience in SnapLogic, SQL, ETL pipelines, and data warehousing, along with at least 34 years of handson 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 largescale 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 enterpriselevel 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 handson experience with Databricks (Spark, Delta Lake, etc.) Solid understanding of cloud data ecosystems and data modeling principles Excellent problemsolving and communication skills Preferred / NicetoHave 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 crossfunctional teams to deliver endtoend 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 endusers 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

Python

Preferred Skill Sets

SAP SAC

Year of Experience required

35

Education Qualification

BE/B.Tech/MBA/MCA/Mtech/MSC/BSC

Education

Required Skills

Travel Requirements

Available for Work Visa Sponsorship