Data Engineer designing and building data pipelines at LexisNexis. Collaborating with partners for high - quality analytics and AI - ready data.
About the role
- Data Engineer industrializing scalable AI solutions and developing data pipelines for clients and internal projects. Collaborating with teams and participating in ML Ops advancements.
Responsibilities
- Participate in the design and optimization of applications and architectures that process large volumes of data and meet users’/clients’ needs
- Contribute to the leadership and management of an experienced team of data engineers
- Continuously improve your skills and seek to enhance the tools and methods used (technology watch, R&D, sharing best practices, hackathons)
- Take part in code reviews with your team members, challenge implementations, share your expertise, and help develop junior Illuiners around you
- Participate in ceremonies and sprint reviews in direct connection with the client and our product teams
- Contribute to the evolution of our ML Ops technical stack
- Support the growth of our Data Engineering division by occasionally assisting the sales team with your technical expertise
- Participate in the development of cross-functional internal projects: research, operations, security, training, etc.
Requirements
- Advanced knowledge of at least one programming language (Java / Kotlin / Scala / Python)
- Advanced proficiency in SQL
- Solid understanding of data processing solutions (queueing, streaming, batch processing, caching)
- Good understanding of data storage solutions (SQL / NoSQL databases, data warehouse, data lake, data lakehouse)
- Experience with Git and continuous integration tools
- Experience with Docker
Benefits
- You are committed and ready to give your best
- You are curious, flexible, empathetic, and autonomous
- You have a sense of sharing and teamwork
- You share our values: trust, empowerment, excellence, innovation
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
Data Engineer implementing data pipelines on Snowflake platform with a focus on innovation and collaboration for Zurich's data projects.
Data Engineer engineering DUAL Personal Lines’ strategic data platforms for global insurance group. Providing technical expertise in data engineering and collaborating with internal teams for solution delivery.
Data Engineer role focused on creating and monitoring data pipelines in an innovative energy company. Collaborate with IT and departments to ensure quality data availability in a hybrid work environment.
SQL Migration Data Engineer at Auxo Solutions focusing on Azure SQL/Fabric Lakehouse migrations and building data pipelines. Collaborating on technical designs and data governance for modernization initiatives.
Data Engineer developing cloud solutions and software tools on Microsoft Azure big data platform. Collaborating with various teams for data analysis and visualization in healthcare.
Boomi Integration Architect designing and leading integration solutions for data warehouses. Collaborating with cross - functional teams to implement scalable integration patterns using Boomi technologies.
Seeking a Boomi Integration Architect specializing in Data Warehouse and Master Data Hub implementations. Responsible for designing high - performance integration solutions across enterprise platforms.
Principal Data Engineer at Serko enhancing global travel tech through data - driven solutions. Collaborating across teams in Bengaluru to drive innovative engineering and best practices.
Data Engineer at Keyrus responsible for building and optimizing data pipelines for major projects. Contributing to data solutions and ensuring data quality in a growing team.