Implementation Engineer

About Global Data Management Tower (GDMT)

Ipsos Global Data Management Tower serves as the backbone of Ipsos' efforts to harness and integrate the power of data, globally. GDMT is tasked with the critical role of ensuring that data, one of the most valuable assets in the modern digital economy, is accurately collected, stores, processed, and analyzed to support decision-making processes, drive innovation, and maintain Ipsos' competitive advantage on a global scale.

What makes this role important at Ipsos?

We're looking for someone with a deep interest and expertise in data engineering and the dedication to apply that passion. We need someone with the technical expertise to expand and optimize our existing data pipeline and architecture. The ideal candidate will have experience using cloud-based platforms, like AWS and Google Cloud Services, to build and maintain serverless data pipelines to efficiently process and warehouse large scale datasets. The role also requires conscientious attention to detail, an ability to work well on a small team, and a self-starter approach to problem solving and debugging.

What you can expect to be doing:

Python Library Implementation

• Lead the design, development, and deployment of cloud-based data pipelines to process and store large-scale datasets, ensuring high performance and scalability.
• Deploy and maintain an internally developed scalable Python data processing library, ensuring it meets project requirements and performance standards.
• Ingest and assemble data from various disparate sources using SQL and Python, ensuring the data processing library efficiently handles diverse datasets.

Training and Support

• Provide training to the Data Processing team on the Python data processing library and data pipeline best practices.
• Create comprehensive documentation for the library and data pipeline workflows, ensuring team members can easily understand and use them.
• Offer ongoing support to end-users, troubleshooting issues and optimizing the usage of the library and cloud-based pipelines.

Continuous Improvement

• Collaborate with the library development team to provide feedback and conduct performance analysis, ensuring the Python data processing library evolves with emerging best practices.
• Troubleshoot and improve existing infrastructure and codebases, enhancing system reliability, performance, and scalability.

Cross-Functional Collaboration

• Work closely with internal and external stakeholders to identify project needs and goals, ensuring alignment with overall business objectives.
• Collaborate with software engineers, data scientists, and other stakeholders to ensure the successful integration of data pipelines and Python libraries with broader project goals.
• Lead the migration of code into production, providing technical assistance and guidance to optimize processes and ensure smooth transitions.
• Identify tools and utilities used by local Data Processing teams, help document and drive standardization of the toolset used by all teams

This might be the job for you if you have:

• Bachelor's degree in computer science, Engineering, or related field
• 8+ years of professional experience in Python development
• Proficiency in Python and its libraries, Pandas data frames, etc.
• Strong understanding of software architecture and design patterns
• Experience with relational databases such as PostgreSQL, MySQL, etc.
• Familiarity with front-end technologies such as JavaScript, HTML, and CSS
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform Big Query
• Excellent communication and collaboration skills
• Ability to work effectively in a fast-paced environment and manage multiple priorities
• Strong problem-solving and troubleshooting skills

If you don't meet 100% of the requirements, we encourage all who feel they might be a fit for the opportunity to apply. We may consider a variety of backgrounds for a particular role and are also committed to considering candidates for available positions throughout our organization, not just the one you're applying to!

In accordance with NY/CO/CA/WA law, the estimated base salary range for this role is $95,000 to $105,000. Your final base salary will be determined based on several non-discriminatory factors which may include but are not limited to location, work experience, skills, knowledge, education and/or certifications.

What's in it for you:

At Ipsos you'll experience opportunities for Career Development, an exceptional benefits package (including generous PTO, healthcare plans, wellness benefits), a flexible workplace policy, and a strong collaborative culture.

To find out more about all the great reasons to work at Ipsos, how we're making an impact around the world, and more about our benefits and employee programs, please visit:

Why Work at Ipsos | US

Why Work at Ipsos | CA

Commitment to Diversity

Ipsos recognizes the necessity of building an inclusive culture that values each employee's individuality and diverse perspectives. For more than 40 years, our mission has been to generate and analyze data about society, markets, brands, and behaviors to provide our clients with the insights that elevate their understanding of the world. This could not be fulfilled without Ipsos' diverse employees who compile and analyze this data-they are the essence of who we are and what we do.

We are committed to providing equal opportunity to all employees, creating an environment that promotes inclusion, and enabling employees from all walks of life to flourish. Ipsos encourages our employees to act in a respectful and responsible manner, in line with code of best practices concerning diversity and inclusion, human rights, equality, and civility for every individual.

Ipsos is An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or any other protected class and will not be discriminated against on the basis of disability.

#LI-NR1 #LI-Hybrid