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NielsenIQ

Global provider of consumer purchasing data

Principal Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeMexico City, CDMX, MexicoMX$80k - MX$94k /moHybrid

About the Job

Requirements

  • A bachelor's or master's degree in Computer Science, Data Engineering, or a related field is required.
  • At least 7 years of experience as a Data Engineer, with a strong background in extract, transform, and load processes and data warehousing, is required.
  • At least 4 years of experience with Apache Airflow for orchestrating data pipelines is required.
  • Proficiency with extract, transform, and load tools and frameworks such as Apache Spark and Matillion is required.
  • Proficiency in Python, Java, or other relevant programming languages is required.
  • Knowledge of data modeling, data warehousing, and SQL is required.
  • Experience working with structured and unstructured data is required.
  • Experience with cloud-based data solutions such as AWS, Google Cloud Platform, or Azure is required.
  • Understanding of data storage, data transformation, and data integration concepts is required.
  • Knowledge of data security and encryption best practices is a plus, so it is listed as desirable rather than required.
  • English is required.

Responsibilities

  • Design, develop, and maintain robust, scalable data pipelines that support extracting, transforming, and loading data from various sources into the data platform.
  • Build and extend automation tools for infrastructure provisioning, auto-scaling, code deployment, monitoring, alerting, reporting, and failover.
  • Collaborate with the engineering team to build and maintain a resilient data platform that ensures high availability, reliability, and performance.
  • Use Apache Airflow expertise to orchestrate and manage complex extract, transform, and load workflows.
  • Optimize data pipeline performance, troubleshoot issues, and ensure data quality and accuracy through monitoring, testing, and validation.
  • Keep up to date with data engineering trends and evaluate and introduce technologies and tools to improve data infrastructure.
  • Drive the design and implementation of data security and access control policies to protect sensitive information.
  • Collaborate with the DevOps team to ensure seamless deployment and monitoring of data pipelines and workflows.

Desired Qualifications

  • Knowledge of data security and encryption best 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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