Senior Data Engineering Specialist

hace 2 semanas

Colombia Nielseniq A tiempo completo

About Nielseniq

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As the world's leading consumer intelligence company, Nielseniq delivers unparalleled insights into consumer buying behavior. Our comprehensive understanding of consumers' preferences and behaviors empowers savvy researchers to define winning strategies.

Job Description

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We are seeking a skilled Senior Data Engineering Specialist to strengthen our data engineering capabilities. The successful candidate will bring practical experience and enthusiasm to drive our data initiatives forward. As a collaborative team player, you will enjoy working with others and interacting with various departments.

Key Accountabilities

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  • You will adhere to applicable standards and guidelines while solving complex problems.
  • You will work within your team scope and contribute to the harmonization and improvement of solutions across the organization.
  • You will share knowledge with other engineers during pair programming/pair work, when sought for advice, during code reviews, and by participating in Communities of Practice.
  • You will bring together technical assets from different disciplines within your cross-functional team and foster a common solution approach among team members with diverse technical backgrounds.

Qualifications and Responsibilities

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The ideal candidate should possess:

  • 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 how customer data deliveries (internal or external) are 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.
  • Technologies and Standards.
  • 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 R&D 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.).

Salary Range

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We offer a competitive salary range of $120,000 - $180,000 per year, depending on experience.

Benefits

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Nielseniq offers a comprehensive benefits package, including flexible working environment, volunteer time off, and opportunities for professional growth and development.

About Nielseniq

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Nielseniq is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. 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.

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