Data Engineer

NielsenIQ; Ciudad de México; Presencial; MXN 600.000 - 1.000.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Flexible working environment

Volunteer time off

LinkedIn Learning

Employee-Assistance-Program (EAP)

Descripción de la vacante

NielsenIQ is seeking a Data Engineer in Mexico City to join a team building scalable data pipelines and analytics. The role focuses on large-scale data processing, model integration, and performance-optimized Spark code in Python/Scala, with exposure to Databricks, Fabric, and Airflow.

The successful candidate will design robust ETL infrastructure, collaborate across teams, and contribute to data warehousing strategies while maintaining clear technical documentation.

Formación

• Minimum 5-8 years of experience as a Data Engineer.
• Experience modeling or manipulating large datasets.
• Hands-on experience as a data engineer.
• Proficient with the Spark framework (Python/Scala).
• Knowledge of data warehousing concepts is a plus.
• Programming in Python/Scala and SQL is required.
• Experience building data pipelines with Spark (Databricks/Fabric) and Airflow.
• CI/CD & DevSecOps experience is a plus.
• Retail industry experience is a plus.
• Cloud certification for Data Engineer is preferred.

Responsabilidades

• Maintain and assemble data pipelines that ingest large datasets, performing complex transformations to generate client-facing facts.
• Integrate finished models into pipelines to build actionable client insights.
• Use Spark to optimize code, including data science models.
• Build infrastructure for ETL from diverse data sources using Azure, Databricks and SQL tech.
• Write and maintain feature documentation and transition features to L2 support.

Conocimientos

Data Engineering Experience

Spark (Python/Scala)

Python

SQL

Data Modeling

CI/CD / DevSecOps

Team Collaboration

AI tools exposure

Cloud Certification

Retail domain knowledge

Herramientas

Databricks

Fabric

Airflow

Azure

Descripción del empleo

NielsenIQ (NIQ) is the world's leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior. With operations in more than 90 countries, NIQ provides manufacturers and retailers with accurate, actionable insights to innovate and grow.

Job Description

As a Data Engineer, you’ll be part of a team which works with cutting-edge technologies such as Spark, (Scala & Pyspark), python, Databricks, Airflow, SQL, Docker, Kubernetes, and other Data engineering tools.

Responsible to 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 SQL technologies

Write and maintain documentation for features you work on & transition them to L2 support.

Qualifications

Minimum 5-8 year of experience as Data engineer.

Experience modeling or manipulating large amounts of data is a must.

Hands-on experience as a data engineer

Highly proficient in using the spark framework (python and/or Scala)

Knowledge of Data Warehousing concepts, strategies, methodologies is good to have.

Programming experience in Python/scala, SQL.

Direct experience of building data pipelines using Apache Spark (Databrics/Fabric), Airflow.

Experience with CI/CD & DevSecOps is a plus.

Experience with Retail business is a plus

Any cloud certification for Data engineer.

Must be team oriented with strong collaboration, prioritization and adaptability skills required

Ability to write efficient code in terms of performance / memory utilization

Basic exposure to AI tools will be good to have.

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://nielseniq.com/global/en/info/niqs-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