Software Engineer (data engineer - Python, Spark, Databricks)

Job Description

• 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

Education/Training 

• B.E./B.Tech. with a major in Computer Science, BIS, CIS, Electrical Engineering, Operations Research or some other technical field.  
• Course work or experience in Numerical Analysis, Mathematics or Statistics is a plus

Hard Skills 

• Proven experience working as a data engineer 
• Highly proficient in using the spark framework (python)
• Extensive knowledge of Data Warehousing concepts, strategies, methodologies. 
• Programming experience in Python, SQL, 
• 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 

• Minimum 3 - 6 year of experience as Data engineer 
• Experience modeling or manipulating large amounts of data is a plus 
• Experience with Demographic, Retail business is a plus 

Additional Information

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

Want to keep up with our latest updates?

Follow us on: LinkedIn | Instagram | Twitter | Facebook

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