Data Engineer
2d ago
  • Mission statements
  • oResponsible for building the pipelines and tools in the DARWIN environment

    oProduce data sets for specific analysis projects, dashboards and applications, and general reuse.

    oIdentify data engineering needs and implement optimal solutions.

    oProvide subject matter expertise to other users who are working in the DARWIN environment.


    oMaintain effectiveness relationships with the end stakeholders with an end objective to develop education and communication content as per requirement

    oInteract effectively with healthcare professional on publications content

    oConstantly assist other writers in developing knowledge and sharing expertise


    oCreate and maintain optimal data pipelines using Sanofi’s data platform and infrastructure

    oAssemble large, complex data sets that meet the needs of data analysts and data scientists as per agreed timelines and quality

    oIdentify, design, and implement internal process improvements : automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

    oBuild the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data’ technologies.

    oBuild analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.

    oKeep our data separated and secure across national boundaries through multiple data centers and AWS regions.

    oCreate data tools for analytics and data scientist team members that facilitate their discovery, access and use of data.


    oBuild processes supporting data transformation, data structures, metadata, dependency and workload management.

    oSuccessfully manipulate, process and extract value from large disconnected datasets.

    oBring Working knowledge of message queuing, stream processing, and highly scalable big data’ data stores.


    oWork with data and analytics experts to strive for greater functionality in our data systems.

    oWork with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

    Knowledge, Skills & Competencies / Language

    o5+ years of experience in a Data Engineer role

    oExperience supporting and working with cross-functional teams in a dynamic environment.

    oExperience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.

    oStrong project management and organizational skills.

    oStrong analytic skills related to working with unstructured datasets.

    oExcellent English language knowledge


    oGraduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field

    Requirements of the job

    oExperience and knowledge PySpark programming

    oAdvanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

    oExperience building and optimizing big data’ data pipelines, architectures and data sets.

    oBuild processes supporting data transformation, data structures, metadata, dependency and workload management.

    oA successful history of manipulating, processing and extracting value from large disconnected datasets.

    oWorking knowledge of message queuing, stream processing, and highly scalable big data’ data stores.

    At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers.

    We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.

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