Our partner is one of the largest retail e-commerce companies in North America, serving millions of customers each year and ensuring a secure and seamless shopping experience across digital and in‐store channels.We are looking for skilled and motivated engineer Data engineer to join the innovative team. The Orchestration team manages platforms within Insights Delivery Technology organization and offers self-service solutions designed to empower engineers, data scientists, and analysts to seamlessly perform ETL/ELT operations on data from diverse sources such as Kafka, S3, GCS, BigQuery, and Postgres, and write processed data back to these sources via batch or real‐time processes.As an Orchestration Team Engineer, you will play a critical role in developing and maintaining this robust platform, ensuring that users can efficiently extract actionable insights without being burdened by the complexities of big data technologies. Your work will enable to client to scale its operations while keeping technical demands on non‐engineering staff to a minimum.ResponsibilitiesPlatform Support: Perform ongoing production support and on‐call support duties. Work with both onsite and offshore resources daily to resolve incidents and issues.Platform Development: Evolve, design, and maintain our orchestration platforms which aim to abstract the complexities of big data technologies and simplify ETL/ELT operations for usersInfrastructure as Code: Provision and manage cloud data infrastructure declaratively with Terraform, delivering self‐service platform capabilities through automated, version‐controlled pipelines.Integration: Develop seamless connectivity to diverse data sources and destinations, ensuring high performance and reliability.Data Governance & Metadata: Build and operate metadata, cataloging,





Confluent Cloud).Working understanding of data governance concepts — metadata management, data cataloging, and data lineage.Familiarity with CI/CD and Git-based workflows (GitHub Actions) for platform and pipeline delivery.Proficiency with AI-assisted developer tooling — LLMs, the Model Context Protocol (MCP), and "copilot"-style productivitytools — and a track record of using them to work more effectively.Excellent problem-solving and communication skills, with the ability to work effectively in a collaborative environment.Nice to HaveHands‐on experience with a metadata / data‐catalog / lineage platform such as DataHub (or Collibra, Amundsen, or similar).Experience with BI / semantic-layer tools such as Looker / LookML.Experience with data quality, observability, SLOs / error budgets, and on‐call operations for data platforms.Familiarity with distributed processing frameworks such as Spark; Java / Scala a plus.Engagement Model: Direct Independent Contractor (Please read carefully)This is an independent contractor opportunity based on a direct contractual relationship between Zoolatech and the individual service provider.To facilitate this direct partnership, we engage with professionals who are registered and operate as a sole proprietorship, private entrepreneur, or an equivalent self‐employment status in your country.Please note, our model does not accommodate contracts through third‐party intermediaries such as agencies, incubators, or umbrella companies. The essential requirement is your ability to enter into a service agreement and invoice Zoolatech directly. This is not an offer of direct employmentPlease note that only candidates whose profiles closely match our requirements will be contacted.#J-*****-Ljbffr

? Middle Data Engineer (Colombia)
? Zoolatech
? Colombia

📌 Middle Data Engineer (Colombia)
🏢 Sin nombre
📍 Colombia