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Senior Data Engineer

NielsenIQ · Ciudad de México

New Remote
Remote Senior 🇬🇧 English
Python Scala AWS Azure GCP Spark DataBricks Kafka Airflow SQL Kubernetes Helm Delta Lake Apache Iceberg MLflow LangChain FastAPI Terraform React Node.js

Job description

About the role

NielsenIQ is looking for a Senior Data Engineer (also called Sr. Data Software Engineer) to join its NIQ Activate Technology team in Mexico City. The position is remote and focuses on building new data solutions for a growing customer base, working with top data ingestion technologies and a diverse team. NIQ Activate provides AI-powered customer analytics, personalization and brand collaboration platforms.

Key responsibilities

  • Own end-to-end data flows, from requirements and architecture through implementation and production operations, including data acquisition, acceptance criteria and data science integration.
  • Design and build scalable batch and real-time data pipelines and lakehouse solutions focused on large-scale data processing.
  • Explore technologies to scale the data ecosystem to handle rapid Big Data growth.
  • Partner with Data Science to productionize ML/AI workloads and integrate them into products.
  • Work with cloud, DevOps, application and client teams to deliver robust, secure and scalable solutions.
  • Evaluate and adopt new technologies and patterns as scale and complexity grow.

Required profile

  • 3+ years of hands-on data engineering building and operating production-grade data systems and pipelines.
  • B.Sc. / M.Sc. in Computer Science, Computer Engineering or equivalent.
  • Proven experience designing, building and owning production-grade batch and streaming pipelines, including reliability, backfills and SLA-driven delivery.
  • Strong English, written and spoken.

Required skills

  • Python; working proficiency in Scala.
  • At least one major cloud provider (AWS, Azure or GCP).
  • Big Data processing (Spark, DataBricks) and event streaming (Kafka).
  • Orchestration and platform tooling such as Airflow, with maintainable DAGs.
  • Strong SQL and data storage systems, plus at least one of: Data Lake/Lakehouse, columnar DB or NoSQL.
  • Containers and Kubernetes (Helm a plus), modern CI/CD practices.
  • Nice to have: Delta Lake and/or Apache Iceberg, MLflow, Pandas/Polars, FastAPI, LLM agent/chat assistant development, Terraform/Pulumi/CloudFormation, observability tooling, React and Node.js.

What we offer

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

Questions fréquentes

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Source : ats:smartrecruiters

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Published 3 hours ago

Expires 1 month from now

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NielsenIQ

Ciudad de México