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AdvisoryIndustry/Sector
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OperationsManagement Level
AssociateJob Description & Summary
At PwC our people in audit and assurance focus on providing independent and objective assessments of financial statements internal controls and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.*Why PWC
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 firms 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 Skills sets:
CSV
Preferred Skills sets:
LIMS/QMS
Years of Experience Required
4-8 years
Education Qualifications
(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
Creating Shared Value (CSV)Optional Skills
Accepting Feedback Accepting Feedback Accounting and Financial Reporting Standards Active Listening Artificial Intelligence (AI) Platform Auditing Auditing Methodologies Business Process Improvement Communication Compliance Auditing Corporate Governance Data Analysis and Interpretation Data Ingestion Data Modeling Data Quality Data Security Data Transformation Data Visualization Emotional Regulation Empathy Financial Accounting Financial Audit Financial Reporting Financial Statement Analysis Generally Accepted Accounting Principles (GAAP) 19 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
IC
Full-Time