Über
Location: Houston, TX (Hybrid) Job Type: Long Term Contract Experience: 10+ Years Need Oil & Gas background Skills: Responsibilities are to collect, clean, and interpret datasets from various sources to support building of the Surface Data Hub, an ecosystem of defined interrelated data products to service the Surface domain. Key job responsibilities Receive direction from Product owner and Data Architect for data analysis objectives and tasks (story level) Act as a mentor to junior Data Analysts on the team Collaborating with data architects, data analysts and data engineers to develop the desired solutions Collaborate and receive rules and requirements from business, functional, or application SMEs to inform analysis tasks. Analyze datasets, entities, application and system of record data sources, define relationships and attributes, and determine source to target mapping requirements Clean and validate data to ensure accuracy and quality prior to maturing the feature to build Define data engineering requirements for pipeline and data products build Spike with other IT professionals to define interface requirements between applications or systems within the Client portfolio or externally with vendors apps Occasional collaboration with the Enterprise Data Architects and the Surface Platform Architects to develop and refine the Data Models as part of the Client Enterprise Data Model Initial QC and validation of produced data products before delivering to stakeholders Required skills Strong knowledge of the Facilities business domain and processes Strong data-level analytical skills Strong interpersonal skills working within a team Proficient interpersonal skills working external to the immediate team (i.e. system of record SMEs or admins, functional SMEs, vendor SMEs) Proficient SQL skills to build queries Years of experience 10+ Preferred Requirements Basic or awareness of data modeling and approaches Experience with cloud services such as ADLS gen 2, Databricks, Synapse, Azure SQL Basic or awareness of knowledge of the Client Enterprise Data Model ERP system experience (e.g. SAP S/4HANA, JDE) Product allocation experience (e.g. Energy Components) Awareness of industry standards such as ISO-14224, CFIHOS
Sprachkenntnisse
- English
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