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 Working with stakeholders including data, design, product and executive teams and assisting them with data-related technical issues Responsible for the transformation of conceptual algorithms from R&D into efficient production ready code. 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. Minimum of 10+ years of relevant experience as a Software/Data engineer Minimum 5+ years of experience in leading Design, Java, Spring boot and big data applications development, deployments & end to end delivery. Highly proficient in using the spark framework (python and/or Scala) Extensive knowledge of Data Warehousing concepts, strategies, methodologies. Experience of building data pipelines using Apache PySpark (preferably in Databricks), Scala, Python and Airflow. Databricks & Azure Big Data Architecture Certification would be plus Working knowledge on Azure cloud services such as Azure cloud PaaS services, Blob storage, Docker, Registry, Kubernetes, Key Vault, Platform Administration tasks, Azure CLI and Power Shell Strong fundamentals in back-end object-oriented programming, including proficiency in RDBMS (Oracle and PostgreSQL) Familiarity integrating Restful APIs and an understanding of microservices architecture Experience with Service oriented design, Microservice Architecture, design patterns and solution architecture .

Qualifications

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Experience working with Database (SQL) skills to develop and optimize SQL queries, function and stored procedures. Good Understanding on CI/CD Pipeline Knowledge on Linux/Unix environment (basic commands, shell scripting, etc.) Demonstrated ability to thrive in an enterprise Agile/SCRUM environment Demonstrated ability to work as part of a Global Team Experience using Collaboration Technologies: Azure DevOps, Jira, Confluence Experience in using JIRA, Confluence, GitHub Experience working with testing tools and Automation test needs Produce and maintain documentation for released data sets, new programs, shared utilities, or static data. This must be done within department standards Motivated, high-potential performer, with demonstrated ability to influence and lead. Strong communicator with excellent interpersonal skills. Able to solve complex problems and successfully manage ambiguity and unexpected change. Teachable and embracing best practices and feedback as a means of continuous improvement. Excellent English communication skills, with the ability to effectively interface across cross-functional technology teams and the business Sound SDLC skills, preferably with experience in an agile environment 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 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 Databricks & Azure Big Data Architecture Certification would be plus Experience modelling or manipulating large amounts of data is a plus Experience with Demographic, Retail business is a plus

Additional Information

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

Our Benefits

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

NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including resume screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ's principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ's AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies.

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(TM). 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

At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion