Pwc
Consulting
IN_SeniorAssociate_SnaplogicDeveloper_DataandAnalytics_Advisory_Noida
Neural analysis suggests this role is
optimal for Senior Associate candidates.
“IN_Senior Associate_Snaplogic Developer_Data and Analytics_Advisory_Noida at Pwc. Skills: SnapLogic, ETL, Data Warehousing, Databricks, SQL. Design data integration pipelines. Build data integration pipelines”
Industry & Context.
Problem-solving
What They're Looking For.
Must Have
5+ years of experience with SnapLogic, 6+ years of experience with ETL pipeline development, 6+ years of experience with data warehousing, Proficiency in SQL, 3+ years of hands-on experience with Databricks, Solid understanding of cloud data ecosystems, Solid understanding of data modeling principles, Bachelor of Technology, Bachelor of Engineering, MBA
Nice to Have
Familiarity with Python, Experience with Python for scripting, Experience with Python for data processing tasks, Familiarity with CI/CD practices, Knowledge of data governance, Knowledge of data privacy, Knowledge of compliance best practices, PhD preferred
What You'll Do.
Design data integration pipelines
Build data integration pipelines
Maintain data integration pipelines
Maintain ETL pipelines
Process structured data
Process unstructured data
Gather data requirements
Understand data requirements
Ensure data integrity
Ensure data governance
Design SAP SAC solutions
Develop SAP SAC solutions
Implement SAP SAC solutions
Create data models in SAC
Create stories in SAC
Create dashboards in SAC
Develop custom SAC applications
Integrate SAC with data sources
Ensure data accuracy in SAC
Ensure data consistency in SAC
Ensure data quality in SAC
Translate requirements into specifications
Deliver end-to-end analytics solutions
Optimize SAC solutions
Troubleshoot SAC solutions
Document SAC solutions
Provide training to end-users
Provide support to end-users
Provide training to team members
Provide support to team members
How You'll Work.
Team & Collaboration
Collaborate with data analysts; Collaborate with data scientists; Collaborate with business stakeholders; Collaborate with cross-functional teams
Communication Scope
Communication skills
Full Job Description
**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 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. _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](https://www.pwc.in/about-us.html). 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 We are looking for a Senior Data Engine
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