Company Description

R26_0010641

As a Senior Data Engineer, you’ll be part of a team which works with big data & cloud technologies such as Spark, (Scala & Pyspark), python, Databricks, Airflow, Hive etc.

Job Description

• Responsible for maintianing & assembling data pipelines that consume large datasets, runs the complex data transformations that are needed to generate the facts for the clients.
• Responsible for integrating finished models into the pipelines that also helps in building the insights for the customer.
• Use your spark skills to optimize spark code (including data science models).
• Building required infrastructure for optimal extraction, transformation and loading of data from various data sources using Azure, Databricks and RDMBS technologies
• Write and maintain documentation for features you work on & transition them to L2 support.
• Ability to write highly efficient code in terms of performance / memory utilization

Qualifications

• Minimum 10 years of experience as Data engineer
• Experience modeling or manipulating large amounts of data is a must.
• 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
• Hands-on 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

Nive to Have:

• Experience with CI/CD & DevSecOps is a plus.
• Experience with Demographic, Retail business is a huge plus
• Databricks & Azure Big Data Architecture Certification would be plus

Soft Skills:

• Must be team oriented persion with strong collaboration, prioritization, and adaptability skills.
• Ability to learn the application from documents & KT videos with some support from the team.
• Understands the dynamics & dependencies between various teams & acts responsibly.

Additional Information

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 résumé 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™. 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