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Data Analytics & AIManagement Level
Senior ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decisionmaking and driving business growth.Years of Experience: Candidates with 12 years of hands on experience
We are seeking a highly skilled and innovative Data Engineer to join our fastgrowing dynamic Microsoft Alliance Data team. In this role you will play a pivotal part in designing developing and maintaining data related projects enabling our client to deploy analytics advanced analytics and AI models. Your expertise will be crucial in transforming consumable vast datasets into actionable insights empowering our clients to achieve their business goals.
Role and Responsibility:
Data Integration: Design and implement processes for data acquisition storage transformation and retrieval from various sources ensuring data quality and integrity but also seamless integration of largescale datasets allowing our clients to fully leverage the value of their investment into their Data Lake and alike.
Automation: Develop and implement automated processes for data extraction transformation and loading (ETL) reducing manual intervention and enhancing reliability via leading practice on data pipeline orchestration
Leadership & Mentorship: Provide guidance and mentorship to junior data engineers and peers fostering a culture of continuous learning and development within the team
Security and Compliance: Ensure that data handling practices comply with industry standards and regulations maintaining the highest levels of data security and privacy.
Collaboration: Work closely with our clients business stakeholder their data engineer and data scientists AI researchers and software engineers
Innovation: Stay abreast of the latest advancements in data engineering AI and machine learning technologies and apply this knowledge to improve our clients data infrastructure and capabilities.
skills Required:
Experience in leading data engineering projects in an enterprise setting while working with a variety of data and analytic platforms databases analytic/BI tools (AWS Synapse Databricks)
Experience in migrating data platform applications from onprem to AWS Synapse and Databricks
Data integration/data ingestion across structured and unstructured data sources along with various enterprise applications
Expertise with multiple integration/ETL patterns: batch streaming API/microservices
Familiarity with modern data architecture and platforms: cloud data mesh data lakehouse delta lake
Advanced knowledge of SQL language proficiency with Python Spark/Scala or Java ProblemSolving: Strong analytical and problemsolving skills with the ability to think critically and creatively.
Communication: Excellent verbal and written communication skills with the ability to convey complex technical concepts to nontechnical stakeholders.
Ability to work independently and in a team
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Optional 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 DataDriven Insights Data Integration Data Integrity Data Mining Data Modeling 46 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Senior Manager
Full-Time