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Description
JOB SUMMARY: The Data Engineer interprets data requirements for a specific data/tech product & drives the design, development & implementation of relevant data models based on both external/internal assets. They develop & maintain required enablers and platforms in data lake environment, securing data accessibility & integrity throughout all relevant processes KEY RESPONSIBILITIES: Engage with key stakeholders to identify data requirements for a specific data/tech product Design, build & maintain systems that capture, collect, manage, and convert raw data into usable information, securing quality & integrity (implementation of specific software for appropriate data management) Develop mechanisms to ingest, analyze, validate, normalize and clean data , supporting key user needs (standardization, customization), build interfaces & retention models which requires synthesizing or anonymizing Implement & maintain relevant procedures to secure data accessibility & quality (on new data sources uncovered by data scientists) Secure effective integration of built models/systems within PR environment, connecting with relevant architects/engineers, and drive continuous improvement initiatives (including maintenance.) Support data teams at key steps , sharing relevant insights/expertise (advice on data sourcing and preparation to data scientists, on data analytics & visualization concepts, methods & techniques.) Provide data engineering best practices & bring forward new ways of thinking around data to improve business outcomes Mentor other Data Engineers supporting them in complex scenarios leveraging past experiences and developing new standards Participate in transversal data engineering initiatives (market intelligence, cross-product/family initiatives.) as needed, and continuously develop their own skills based on industry trends/enterprise needs GEOGRAPHICAL SCOPE : Scope : Global Travel : Very Limited INTERACTIONS : Reporting Line (direct/indirect) : Reports to Data Engineering Chapter Lead, working in a matrix organization Key internal stakeholders : Squad Members (Data or GES, including Data Scientists/Analysts, Data Architect), BI Analysts, Data Governance Team, Product Owners. Product Managers etc. Key external stakeholders : Data Engineering Supplier, External Data Providers for product scopes FUNCTIONAL SKILLS: Core On-Cloud Data Engineering skills, including data extracting & storage, data transform & load. Data tools: Azure, SQL, Snowflake, Python, DBT, Lakehouse Architecture, Databricks, ADF, LogicApp, API Mgmt. and Azure Functions Project management & support : JIRA projects & service desk, Confluence, Sharepoint Mastery of data governance, architecture & security principles Background in software engineering/development (scripting & querying...) Knowledge of innovative technologies is a plus Strong communication skills, with the ability to talk with both technical & non-technical stakeholders Agile ways of working (collaboration, CD/CI) PAST EXPERIENCE: Bachelors or Masters in Computer Sciences 8 Years of experience as Data Engineer Experience in an FMCG/CPG company is a strong plus Lead & Co-ordination experience for other data engineers Show more Show less
