Engineer

As a Mid Engineer, you will collaborate with other Engineers, Development teams & Scrum 
Masters to realize critical business goals and be part of a team of smart, highly skilled 
technologists who are passionate about learning, data mining and prototyping cutting-edge 
technologies. 
We develop mostly in Python and what we do is to help our Research team to put in production 
ML models, so we work mostly in building training pipelines (mostly in AzureML), integrating
inference codes, and providing tools and patterns for enhancing our MLOps cycle.
Responsibilities:
• Create and maintain a scalable infrastructure to deliver AI/ML processes, responding to 
the user requests in near real time.
• Develop the pipelines for training and deployment of ML models.
• Co-ordinate with the leads to perform feasibility studies/analysis with a critical point of 
view and support & maintain (troubleshoot issues with data and applications).
• Co-ordinating with other engineers fostering good engineering practices within the 
team.
• Working with data scientists and a variety of end-users (across diverse cultures) to 
ensure technical compatibility and user satisfaction.
• Work as a member of a team, encouraging team building, motivation and cultivating 
effective team relations.
• Use distributed computing to validate and process large volumes of data to deliver 
insights.
• Evaluate technologies we can leverage, including open-source frameworks, libraries, and 
tools.
• Develop technical documentation for applications, including sequence diagrams, 
flowcharts and manuals.

• 3-6 years of applicable data engineering experience, including Spark & RESTful API 
• Strong fundamentals in data mining & data processing methodologies
• Strong knowledge of data structures, algorithms and designing for performance, 
• scalability and availability
• Strong knowledge of pandas, numpy, flask & sqlalchemy python libraries.
• Sound understanding of Big Data & RDBMS technologies, such as SQL, Hive, Spark, 
• Databricks, Snowflake or Postgresql
• Orchestration and messaging frameworks: Airflow, Jenkins, Messaging queue
• frameworks (Kafka)
• Experience in Azure or any cloud computing
• • Experience and knowledge in Linux & container orchestrators (Kubernetes, Docker 
• Swarm.)
• Experience in using collaborative developing tools such as Git, Confluence, Jira, etc.
• Excellent English communication skills, with the ability to effectively interface across 
• cross-functional technology teams and the business.
• Minimum B.S. degree in Computer Science, Computer Engineering or related field

• Enjoy a flexible and rewarding work environment with peer-to-peer recognition platforms.
• Recharge and revitalize with help of wellness plans made for you and your family.
• Plan your future with financial wellness tools.
• Stay relevant and upskill yourself with career development opportunities. 

Our Benefits

• Flexible working environment
• Volunteer time off
• LinkedIn Learning
• Employee-Assistance-Program (EAP)

About NIQ

NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population.

For more information, visit NIQ.com

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Our commitment to Diversity, Equity, and Inclusion

NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center: https://nielseniq.com/global/en/news-center/diversity-inclusion