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Job Description

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.

- Responsible for maintaining & 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.





Nice 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 person 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.

Benefits

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

Equal Opportunity Employer

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 https://nielseniq.com/integral/en/news-center/diversity-inclusion.

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📌 Senior Data Engineer (Bogotá)
🏢 Nabla
📍 Bogotá