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Line of Service
Advisory
Industry/Sector
Technology
Specialism
Advisory - Other
Management Level
Senior Associate
Job Description & Summary
The Resource Management Operation Specialist team delivers end-to-end analytics solutions across a wide range of internal data domains, covering resource management, data ingestion and transformation through to dashboard and analytics consumption, with the people data domain being a key area of focus.
While end-user outputs include dashboards and ad-hoc analytics, these are underpinned by centrally managed production data pipelines and curated data assets. The team builds and maintains these centrally owned assets for use across the business, ensuring solutions are consistent, reusable, and straightforward to support over time.
As part of the Resource Management Operation Specialist, the candidate will need to be focused on back-end data engineering and data model design, contributing to the development and operation of production data pipelines and data assets.
Work is delivered primarily in Databricks using PySpark and Spark SQL, with a strong emphasis on quality, reusability, and long-term sustainability.
Scope of responsibility
The role will be responsible for the following activities:
Required Skills
Optional Skills
Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Analysis, Business Opportunities, Business Process Consulting, Business Process Improvement, Business Strategy, Business Transformation, Communication, Competitive Advantage, Competitive Analysis, Conducting Research, Consumer Behavior, Creativity, Customer Experience (CX) Strategy, Customer Insight, Customer Strategy, Data Analytics, Embracing Change, Emotional Regulation, Empathy, Go-to-Market Strategies, Inclusion + 14 more
Desired Languages (If blank, desired languages not specified)
Travel Requirements
Not Specified
Available for Work Visa Sponsorship
No
Government Clearance Required
No
Job Posting End Date
Job ID: 152338595
Skills:
snowflake , Data Management, Amazon Web Services, Google Cloud Platform, Databricks, Azure, business intelligence, data assurance, cloud data environment, Teradata