Data Engineer

hace 6 días

Nanclares de la Oca, Álava, España 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 Mission

We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us.

Job Description

We are seeking a skilled Data Engineer to join our team and help drive our data initiatives forward. As a Data Engineer, you will be responsible for designing and implementing data pipelines, addressing complex problems with scale-up and scale-out approaches, and combining them in data pipelines.

Key Responsibilities

  • Design and implement data pipelines to meet business needs
  • Address complex problems with scale-up and scale-out approaches
  • Combine data pipelines to meet business requirements
  • Work with cross-functional teams to foster a common solution approach
  • Share knowledge with other engineers during pair programming/pair work, code reviews, and Communities of Practice

Requirements

  • Experience in designing and implementing data pipelines
  • Ability to address problems with scale-up and scale-out approaches and combine them in data pipelines
  • Understanding of Data Architecture principles
  • Awareness of Data Governance practices
  • Consideration of economic aspects related to the operability of data pipelines
  • Maintenance of data integrity during reprocessing
  • Understanding of customer data deliveries (internal or external) affected by software changes
  • Familiarity with data design patterns and best practices
  • Knowledge of data modeling, data schemas, and their evolution
  • Awareness of data transformation design patterns
  • Focus on data integrity in crafting data pipelines, including monitoring data health and state of intermediate data and alerting mechanisms
  • Designing Quality Control/Validation processes / Quality Gates

Preferred Qualifications

  • Proficiency in Python and SQL
  • Familiarity with scheduling tools like Apache Airflow
  • Interest in Big Data solutions, such as Apache Spark
  • Understanding of Data Engineering techniques
  • Ability to maintain and extend processes and functionalities
  • Knowledge of application packaging and delivery mechanisms, including CD/CI best practices and security concerns
  • Ability to integrate partial solutions and RnD results into production-ready data pipelines
  • Experience in building and operating infrastructure (e.g., for testing purposes)
  • Ability to support operational questions for production environments
  • Understanding of cloud infrastructure and services for setting up and maintaining data pipelines (e.g., AWS)
  • Advising on data transformation workflow designs and optimizations focusing on cost, performance, and delivery mechanisms (streams/increments/etc.)

Benefits

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

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