Data Engineer

hace 7 días

Bogotá, Bogotá D.E., Colombia NielsenIQ A tiempo completo

About NielsenIQ

NielsenIQ 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, NielsenIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach.

Our company is built on a robust and engaged panel and a strict quality standard (ISO 20252). We make possible a truly 360 degrees view of today's consumers collecting behavioral and declarative data from a single source, our panelists, in 23 countries across the globe.

Job Description

We are looking for a senior data engineer to join our team and provide expertise in data engineering techniques, including data pipeline design, implementation, and maintenance. The ideal candidate will have a deep understanding of data modeling, data schemas, and evolution thereof, as well as experience with data transformation design patterns.

Responsibilities

  • Design and implement data pipelines from scratch
  • Decide which problems to solve with scale-up and which ones to tackle with scale-out approaches and how to combine them in data pipelines
  • Maintain data integrity in cases of reprocessing
  • Understand how (internal or external) customer data deliveries are affected by changes to the software
  • Design Quality Control/Validation processes / Quality Gates

Requirements

  • Proficiency in Python and SQL
  • Awareness of scheduling tools, like Apache Airflow
  • Interest in Big Data solutions, like Apache Spark
  • In-depth understanding of data engineering techniques
  • Ability to maintain and extend processes and functionalities
  • Deep understanding of application packaging and delivery mechanisms, including CD/CI best practices and security concerns
  • The ability to integrate partial solutions and RnD results into production-ready data pipelines
  • The ability to build and operate infrastructure (, for testing purposes)
  • The ability to support on operational questions for environments in production
  • Understanding of cloud infrastructure and services available for setting up and maintaining data pipelines (, AWS)
  • Ability to advise on data transformation workflow designs and optimizations with the dimensions of cost, performance and delivery mechanisms (streams / increments / etc.)

Additional Information

The senior data engineer is expected to look beyond their primary team scope and strive for harmonization and improvement of solutions across the CSG or even beyond. The senior data engineer is also accountable to pro-actively pass on their knowledge on to other engineers when the opportunity arises during the course of their work.

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