Data Engineer

NIQ is the worlds 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 insightsdelivered 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.

Job Description

Our NielsenIQ Technology teams are working on revamping multiple platform, a unified, global, open data ecosystem powered by Microsoft Azure. Our clients around the world rely on NielsenIQ’s data and insights to innovate and grow. 

As a Data Engineer, you’ll be part of a team of smart, highly skilled technologists who are passionate about learning and prototyping cutting-edge technologies. Right now, our CDAR platform is concentrating on application convergence with latest backend services with Spring boot technologies and leverage Jenkins to support things like CI/CD and integrations. Java 8 is primarily used to extend platform features along with continuing to adopt the best-in-class cloud-native, cloud-agnostic technologies. Our team is co-located and agile, with central technology hubs in Chicago, Madrid, Toronto, Chennai and Pune.

Responsibilities

• Responsible to assemble large, complex sets of data that meet non-functional and functional business requirements. 
• Responsible to identify, design and implement internal process improvements including re-designing infrastructure for greater scalability, optimizing data delivery, and automating manual processes. 
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and SQL technologies 
• Responsible for the transformation of conceptual algorithms from R&D into efficient, production ready code. The data developer must have a strong mathematical background in order to be able to document and maintain the code 
• Responsible for integrating finished models into larger data processes using UNIX scripting languages such as ksh, Python, Spark, Scala, etc.  
• Produce and maintain documentation for released data sets, new programs, shared utilities, or static data.  This must be done within department standards 
• Ensure quality deliverables to clients by following existing quality processes, manually calculating comparison data, developing statistical pass/fail testing, and visually inspecting data for reasonableness:  the requirement is on-time with zero defects

Qualifications

• Must Have-Minimum 6 year of experience as Data engineer 
• B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field.  
• Experience modeling or manipulating large amounts of data is a plus 
• Experience with Demographic, Retail business is a plus
• Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus
• Proven experience working as a data engineer 
• Highly proficient in using the spark framework (python and/or Scala) 
• Extensive knowledge of Data Warehousing concepts, strategies, methodologies. 
• Programming experience in Python, SQL, Scala 
• Direct experience of building data pipelines using Apache Spark (preferably in Databricks), Airflow. 
• Hands on experience designing and delivering solutions using Azure including Azure Storage, Azure SQL Data Warehouse, Azure Data Lake 
• Experience with big data technologies (Hadoop) 
• Databricks & Azure Big Data Architecture Certification would be plus 
• Must be team oriented with strong collaboration, prioritization, and adaptability skills required 
• Ability to write highly efficient code in terms of performance / memory utilization 
• Basic knowledge of SQL; capable of handling common functions  
• Strong oral and written communication skills

Our Benefits

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