Chief Data Infrastructure Specialist

hace 1 mes

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

Explore a career at NielsenIQ, the world's leading consumer intelligence company. As an NIQ company, we deliver the Full View on consumer behavior.

We're seeking a skilled Data Architect to join our team in shaping tomorrow's data landscape. With 89 years of trust-inspired heritage, we take pride in discovering new pathways to sustainable growth for our clients, people, and planet.

We value open-minded individuals who grow with us, push boundaries, and pioneer disruptive methods in market research, data science, technology, and AI. If you share this passion to drive forward and integrity to insist on doing things right, we'll equip you to take your future into your own hands and play a leading role in our story.

Job Description

Imagine a world where brands ask for consumers' opinions before launching products. At NielsenIQ, we give voice to consumers, enabling them to shape products and services of tomorrow. We deliver genuine opinions and data to help companies create better products.

We're now looking for a Data Architect to boost our Data Engineering capabilities, focusing on the future. Our current solid data strategy inside NielsenIQ requires a team builder who enjoys working with others, understanding their needs, sharing decisions, and explaining data solutions to partners.

  • The senior data engineer will look beyond their primary team scope and work toward harmonization and improvement of solutions across the CSG or even beyond.
  • The senior data engineer is accountable for passing on knowledge to other engineers when opportunities arise during work: during pair programming/pair work, when sought for advice, and during code reviews.
  • By participating in Communities of Practice.
  • The senior data engineer brings together technical assets from different disciplines within their team and encourages a common solution approach between team members with different technical backgrounds.
  • You will report to the Head of Data.
Qualifications

We seek candidates with expertise in designing and implementing entire data pipelines from scratch. Key qualifications include:

  • The ability to solve complex problems using scale-out approaches and combine them in data pipelines.
  • Knowledge about Data Architecture.
  • Awareness of Data Governance.
  • An economic view on questions of operability of crafted data pipelines.
  • Maintain data integrity in cases of reprocessing.
  • Understanding of how (internal or external) customer data deliveries are affected by changes to software.
  • Awareness of data design patterns in the organization and best practices in general.
  • 3+ years of experience with data modelling, data schemas, and evolution thereof.
  • Awareness of best practices of data transformation design patterns.
  • An advanced focus on data integrity when creating data pipelines, by building in means to monitor data health and state of intermediate data and alerting mechanisms.
  • Design Quality Control/Validation processes / Quality Gates.
Technologies and Standards

Candidates should be proficient in Python and SQL, with awareness of scheduling tools like Apache Airflow. Experience with Big Data solutions like Apache Spark is desirable.

We maintain and extend processes and functionalities, integrate partial solutions and R&D results into production-ready data pipelines, build and operate infrastructure, and support operational questions for environments in production.

Our ideal candidate has an understanding of cloud infrastructure and services available for setting up and maintaining data pipelines, such as AWS. They also advise on data transformation workflow designs and optimizations with dimensions of cost, performance, and delivery mechanisms.

About NielsenIQ

NielsenIQ is committed to reflecting the diversity of our clients, communities, and markets within our workforce. We invite candidates who share this mission to join us. As an Equal Opportunity/Affirmative Action-Employer, we make decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status, or any other protected class.

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