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NielsenIQ

Global provider of consumer purchasing data

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoMX$35k - MX$46k /moHybrid

About the Job

Requirements

  • The role requires 2–4 years of experience in Data Engineering or related roles.
  • Strong programming skills in Python and SQL are required.
  • Experience working with data pipelines and ETL processes is required.
  • Familiarity with cloud platforms such as Azure, AWS, or GCP is required.
  • Experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery is required.
  • Understanding of data modeling concepts is required.
  • Strong problem-solving and debugging skills are required.
  • English is required to work in a global environment.
  • Strong attention to detail and data quality is needed.
  • A hands-on mindset and ability to learn quickly are needed.
  • Ownership of tasks and ability to work independently are needed.
  • Good communication and collaboration skills are needed.
  • Interest in building scalable data systems is needed.

Responsibilities

  • Build, maintain, and optimize data pipelines (ETL/ELT) for large-scale datasets.
  • Develop scalable data solutions for data ingestion, transformation, and delivery.
  • Ensure data quality, validation, and reliability across pipelines.
  • Work with stakeholders to understand data needs and translate them into technical solutions.
  • Debug and troubleshoot data issues across pipelines and systems.
  • Support data modeling efforts, including star schema and dimensional models.
  • Contribute to improving pipeline performance and reducing latency.
  • Collaborate with global teams in a fast-paced environment.

Desired Qualifications

  • Experience with Spark or PySpark.
  • Familiarity with orchestration tools such as Airflow.
  • Knowledge of DBT or similar transformation tools.
  • Experience working with large-scale datasets.
  • Exposure to CI/CD or DataOps practices.

About the Company

NielsenIQ

Global provider of consumer purchasing data

NielsenIQ collects and analyzes consumer purchasing data to help retailers and brands understand market behavior. It tracks what people buy, when, and where, using this data to measure market share and purchasing trends across categories. The product works by aggregating point-of-sale and other consumer data, then turning it into actionable insights and benchmarks that clients can use to optimize pricing, assortment, promotions, and marketing. NielsenIQ differentiates itself through its long history (dating back to 1923) and a broad global footprint (operating in over 100 countries), plus its expanded capabilities after merging with GfK in 2023 to strengthen data on technology and durable goods. Its goal is to provide objective, data-driven guidance that helps retailers and brands make informed decisions and improve performance.

Company size
10,001+
Company stage
IPO
Headquarters
Chicago, IL
Founded
1923

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