Senior Data Engineer

hace 1 mes

Bogota, Colombia NielsenIQ A tiempo completo

**Company Description**
Join GfK and help us shape tomorrow. As an NIQ company, we are the world's leading consumer intelligence firm, delivering the Full View on consumer behavior. We work to enable manufacturers and retailers better understand what consumers really want. Our name has inspired trust for over 89 years because we take pride in discovering new pathways to sustainable growth for our clients, our people, and our planet.

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

Next time you go shopping, think about this: What if brands asked for your opinion on their products before they put them on the shelf? Wouldn't that be nice? At **Netquest** we give voice to the consumers enabling them to shape the products and services of tomorrow. How? We deliver consumers' genuine opinions and data to help companies create better products for you.

We're now looking for a **Senior Data Engineer **to join our Data Team. We have to cover the three main specialties at the data field: Data Science, Data Analytics and Data Engineering. Today we have covered all the current needs in each field but we are looking for a boost in the Data Engineering part, looking to the future, by adding a person who provides us experience and knowledge about doing things in the right direction.

Currently we are working on developing a solid data strategy inside **Netquest**, so we are looking for a team builder, someone who enjoys working with others and working with different people and departments, understanding their needs, sharing the decisions with the team and explaining the data solutions to the partners.

As a **Senior Data Engineer **you will have the following key accountabilities:

- 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 also accountable for passing on their knowledge to other engineers when the opportunity arises during the course of their 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**
Now that we've introduced you to the position as **Senior Data Engineer **what skill, qualifications and experience should you have?
- The ability to design and implement an entire **data pipeline** from scratch
- Solve with scale-out approaches and how to 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 whether or how (internal or external) customer data deliveries are affected by changes to the 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**:

- Proficiency in Python and SQL
- Awareness of scheduling tools, like Apache Airflow
- Interest in Big Data solutions, like Apache Spark
- In depth understanding of the Data Engineering techniques
- Maintain and extend processes and functionalities
- The ability to integrate partial solutions and RnD results into production-ready data pipelines
- The ability to build and operate infrastructure (e.g, 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 (e.g., AWS)
- Advise on data transformation workflow designs and optimizations with the dimensions of cost, performance and delivery mechanisms (streams / increments / etc.)

**Additional Information**
Why **Netquest** is great for you? We offer the following benefits:

- Prepaid Medicine paid 100% by the company (MedPlus)
- Birthday Day Off
- 40 hours per week
- Hybrid work - 2 days at office, 3 days at home
- Unlimited Employee Asistance Program (EAP)

**Our Benefits**
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
-

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