Senior Data Engineer

Part of Publicis Groupe (Euronext Paris Exchange: FR0000130577; CAC 40 index), for 50+ years, we’ve helped the world’s top brands transform customer experiences into meaningful, human experiences that drive results. Our Epsilon PeopleCloud product suite combines industry-leading identity, data science and technology - giving a deeper, more accurate consumer view than ever before. We serve the data, analytics and technology needs of Publicis Groupe agencies and their clients. Our mission is to grow clients’ businesses through transformative data applications. It includes a consistent, transparent, best-in-class approach to data, analytics solutions, partnerships and technology via a closely joined network of engineers, technology experts, product designers, analysts and data scientists all empowering marketing and digital business transformation.

Job Description

As the Sr. Software Engineer, you will be a part of an interdisciplinary team that creates stellar data- driven cloud-based solutions. You will be responsible for the success of all technical and functional aspects of a project. We process billions of events every day using Spark and variety of AWS Services, as well as comparable Microsoft Azure services. We are building a new product offering which will require skills across the development stack from UI to backend data storage & processing. This is an opportunity to work on an exciting fully cloud based solution and shape a new product area.

Job Responsibilities

• 80% of time spent on actual coding, refactoring and improving our solutions.
• Contributing to the technical design and implementation of practical, maintainable project solutions.
• Participating in design reviews and recommending improvements.
• Providing support in all phases of SDLC.
• Providing trainings and mentor other Engineers when required.
• Collaborating with other Engineers in planning, prioritizing, and executing tasks within deadlines.

Skills and Experience

• A Bachelors or Masters Degree in Computer Science or related field.
• 6+ years of hands-on development experience with Python.
• Experience with Big Data stack of technologies, including Hadoop and Spark.
• Strong understanding of software engineering methodologies such as functional. programming, object-oriented design and functional design patterns.
• Experience with distributed data processing and management systems.
• Experience working with large data sets or data driven applications.
• Experience with deploying and configuring DataBricks in AWS and Azure environments is a plus.
• Proficiency in Linux/MacOs/Windows environment as development platform
• Proficiency with CI/CD systems, specifically GoCD and Jenkins.
• Solid understanding of DevOps methodologies.
• Solid experience in testing methodologies, test-driven design and the creation of effective and reliable test cases
• Experience with Bash Scripting, as well as tools designed to provision cloud-based infrastructure components such as Ansible and Terraform.
• A truly strong background with Linux systems.
• Excellent team skills.