Senior Engineer - GISOCC R&D DSIS

Job Description

Responsibilities To exchange with requestor the needs to understand and identify useful informations To ensure information shared to requestor is valid and accurate Query, analyse and manipulate large datasets using google Bigquery and SQL Design and optimise queries to improve performance and reduce processing costs Develop and maintain dashboards and reports in Looker studio (or other BI Tools) Automate data pipelines and workflows for efficient reporting Ensure data security,privacy and compliance with Organizational Policies To implement support programs/scripts/algorithms so raw data are more useful to the enterprise To interpret data, analyzes results using statistical techniques To acquire data from primary or secondary data sources confirmed by the Data Architect Exchange with Requestor the needs to understand and identify useful informations Ensure a mature business requirement as of Analytics Needs (Clear Benefits & Identified Users) Specify the business requirement to allow the feasibility study (Data needed and Flow identified) Check the needs and feasibility in accordance with the R&D DSIS Data Catalogs definition Ensure information shared to requestor is valid and accurate Ensure data accuracy & flexibility Use any programming language & tools to support Identify ways to improve data reliability, efficiency & quality Identify and propose R&D DSIS Data Catalogs update Implement Queries Access right Define and implement an access right policy per Report/Dashboard, in line with the functional specifications and the rules provided by the Data Architect Manage the Report, Dashboard access right test phase Make the relative documentation Ensure Technical Report exists to monitor data access and data usage Implement support programs/scripts/algorithms so raw data are more useful to the enterprise Understand the competitive marketplace, business issues, and data challenges in order to deliver actionable insights, recommendations and business processes Work with Digital Business Partners / Excellence Managers / Digital Process Manager to prioritize business and information needed In collaboration with Data Scientist/Developer, turn the volumes of big data into valuable and actionable insights In collaboration with Data scientist/Developer, build, test and maintain frameworks (as the R&D Data Catalogs) In collaboration with Data scientist/Developer, deploy new modeling programs, scripts, languages, packages and solutions to enhance the productivity of the team or grow new businesses Ensure that any data is properly received, transformed, stored, and made accessible to other users (as the Data scientist). Ensure Data View or Table in the Data Lake can be used for reporting or any data mining needs. Interpret data, analyzes results using statistical techniques In charge of providing global dashboards and KPIs to inform stakeholders on value realization Monitor value and propose levers of improvement Interpret data, analyze results using statistical techniques and providing ongoing reports Acquire data from primary or secondary data sources confirmed by the Data Architect Acquire first hand data and/or secondary data collected by the Data Developer In collaboration with Data scientist/Developer use advanced computerised models to extract the data needed In collaboration with Data Developer integrate external or new datasets implemented into existing data pipelines, in line with the Data Architect Design Ensure R&D Data Catalogs for the relative COE data scope are up to date, inform the Data Architect. Show more Show less