Senior Data Engineer

hace 1 mes

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

We are seeking a Senior Data Engineer to join our Data Team at NielsenIQ. As a key member of our team, you will be responsible for designing and implementing data pipelines from scratch, leveraging your expertise in data architecture, data governance, and data integrity.

You will work closely with our data science and analytics teams to develop and maintain data pipelines, ensuring seamless integration with our data architecture. Your ability to design and implement scalable data pipelines, combined with your knowledge of data governance and data integrity, will be crucial in driving our data strategy forward.

In this role, you will have the opportunity to work on a wide range of projects, from developing new data pipelines to improving existing ones. You will also be responsible for mentoring and guiding junior engineers, sharing your knowledge and expertise to help them grow in their careers.

We are looking for a highly motivated and experienced Senior Data Engineer who is passionate about data engineering and has a strong understanding of data architecture, data governance, and data integrity. If you are a team player with excellent communication skills and a passion for innovation, we encourage you to apply for this exciting opportunity.

Key Responsibilities
  • Design and implement data pipelines from scratch, leveraging expertise in data architecture, data governance, and data integrity.
  • Work closely with data science and analytics teams to develop and maintain data pipelines, ensuring seamless integration with data architecture.
  • Mentor and guide junior engineers, sharing knowledge and expertise to help them grow in their careers.
  • Develop and maintain data pipelines, ensuring scalability, reliability, and performance.
  • Collaborate with cross-functional teams to identify and prioritize data engineering projects.
Requirements
  • 3+ years of experience in data engineering, with a strong focus on data architecture, data governance, and data integrity.
  • Proficiency in Python and SQL, with experience in data modeling, data schemas, and evolution thereof.
  • Knowledge of data design patterns, data transformation design patterns, and data integrity.
  • Experience with data governance, data quality, and data security.
  • Strong understanding of cloud infrastructure and services available for setting up and maintaining data pipelines.
  • Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
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 Assistance Program (EAP).
  • Flexible working environment.
  • Volunteer time off.

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