Data Engineer - MEG

Job description

·  Mission statements
·  Responsible for building the pipelines and tools in the DARWIN environment
·  Produce data sets for specific analysis projects, dashboards and applications, and general reuse.
·  Identify data engineering needs and implement optimal solutions.
·  Provide subject matter expertise to other users who are working in the DARWIN environment.

People

·  Maintain effectiveness relationships with the end stakeholders with an end objective to develop education and communication content as per requirement
·  Interact effectively with healthcare professional on publications content
·  Constantly assist other writers in developing knowledge and sharing expertise

Performance

·  Create and maintain optimal data pipelines using Sanofi’s data platform and infrastructure
·  Assemble large, complex data sets that meet the needs of data analysts and data scientists as per agreed timelines and quality
·  Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
·  Build 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.
·  Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
·  Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
·  Create data tools for analytics and data scientist team members that facilitate their discovery, access and use of data.

Process

·  Build processes supporting data transformation, data structures, metadata, dependency and workload management.
·  Successfully manipulate, process and extract value from large disconnected datasets.
·  Bring Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.

Stakeholders

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

·  5+ years of experience in a Data Engineer role
·  Experience supporting and working with cross-functional teams in a dynamic environment.
·  Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
·  Strong project management and organizational skills.
·  Strong analytic skills related to working with unstructured datasets.
·  Excellent English language knowledge

Qualifications

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

Requirements of the job

·  Experience and knowledge PySpark programming
·  Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
·  Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
·  Build processes supporting data transformation, data structures, metadata, dependency and workload management.
·  A successful history of manipulating, processing and extracting value from large disconnected datasets.
·  Working 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.