Phillips 66 & YOU- Together we can fuel the future
The Data Engineer will Lead and consult technical strategy on the Phillips 66 Deep Learning and big data landscape implementation.
Responsibilities May Include
Lead and consult technical strategy on the Phillips 66 Deep Learning and big data landscape implementation.
Lead data modeling & architecture code design reviews to ensure quality, strategy and performance and maintain detailed documentation that captures Phillips 66 data strategy for data mining, data modeling, data pipelines, data integration and computational models.
Facilitate modeling & architecture sessions and design walk through with development team members. Build end-to-end solutions to solve high value business needs in a sustainable, innovative manner.
Develop and maintain big data models using Phillips 66 data modeling strategy; develop overall design, and implementation of SQL scripts, stored procedures, cursors, triggers, data pipelines, designing data distribution strategy.
Design R models, data models, data pipelines, data distribution code for advanced analytics to be utilized across multiple data platforms like HANA, IQ, Hadoop, Azure DW, Redshift, EMR (Elastic Map Reduce).
Lead troubleshooting efforts on complex performance tuning problems within Philips 66 data technologies platform and provide solutions which are highly innovative and ingenious.
Demonstrate ability to determine which Phillips 66 data engines and data solutions should be utilized for a customer requirement considering performance, volume and cost. Identify and understand components performance contributions (SQL, Python, code, servers, networks, volume of data, data I/O throughput, type of data).
Educate and lead developers by using expertise to help educate less experienced team members. Review custom code and identify and implement performance improvement measures including parallelization, code – push down, data model’s optimization, query optimization.
Demonstrate data mining, data discovery and data visualization techniques to present highly visual insight into data.
Develop predictive, prescriptive analytics algorithm utilizing data technologies to meet business requirements.
Communicate and articulate model designs to peers, customers and governance team; demonstrate BI (Business Intelligence) analytical tools against Phillips 66 data to complete data validation and customer UAT (User Acceptance Testing).
Work across business/technology teams to ensure alignment between business solution definition & technical architecture to meet project requirements.
Reduce IT technical debt by promotion of best practices for sustainable IT system design. Improve the architecture by consulting with project architects, promoting innovative approaches, and sharing knowledge.
Demonstrate the ability to provide views of data using Tableau and BI suite; demonstrate knowledge of wide variety of data technologies such as S4HANA, SAP BW4HANA, SAP ERP, EMR, Athena, HDInsight, Azure DW, Data pipelines, SRS, Informatica, Tableau.
Ensure that per Phillips 66 policies that when data is brought in landscape that the appropriate data contracts are executed with customer. Build data management strategy covering best practices, playbook for reference architecture on data designs and build data capabilities in organization.
Employer will accept Bachelor’s degree in Computer Software, Electronic Engineering, or related technical field and 4 years of work experience in job offered or 4 years of work experience in data consulting.
Experience Building and designing large-scale data applications
Experience with database architecture and data warehousing
Experience with data modeling, mining and wrangling
Experience with distributed computing and splitting algorithms to yield predictive accuracy
Experience with technologies including S4HANA, SAP BW4HANA, SAP ERP, EMR (Elastic Map Reduce), Athena, HDInsight, Azure DW, Data products in AWS & Azure, Azure DataBricks, Data pipelines, SRS, Informatica, and Tableau
Experience with data Ingestion, Data Synchronization, Data Governance, Automation to Improve Engineer Productivity
Experience providing training and mentoring resources
Phillips 66 is a diversified energy manufacturing and logistics company. With a portfolio of Midstream, Chemicals, Refining, and Marketing and Specialties businesses, the company processes, transports, stores and markets fuels and products globally. Phillips 66 Partners, the company’s master limited partnership, is integral to the portfolio. Headquartered in Houston, the company has 14,300 employees committed to safety and operating excellence. Phillips 66 had $58 billion of assets as of March 31, 2019. For more information, visit http://www.phillips66.com/ or follow us on Twitter @Phillips66Co.
To be considered
In order to be considered for this position you must complete the entire application process, which includes answering all prescreening questions and providing your eSignature on or before the requisition closing date of February 11, 2020 .
Candidates for regular U.S. positions must be a U.S. citizen or national, or an alien admitted as permanent resident, refugee, asylee or temporary resident under 8 U.S.C. 1160(a) or 1255(a)(1). Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Phillips 66 is an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities
Requisition ID: 51998
Location: Texas - Houston
Job Field: Information Technology
Division : Information Technology
Technical Req : No