Data Engineer – Google Cloud Platform, GCP

🔥 1 minute ago

🇨🇴 Colombia – Remote

⏳ Contract/Temporary

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 10%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• Design, develop, and maintain scalable data ingestion pipelines and workflows using Google Cloud Platform • Implement and optimize data processing and transformation solutions using BigQuery, Dataform, Pub/Sub, Cloud Storage, and Cloud Composer • Develop SQL queries to extract, transform, validate, and troubleshoot data across enterprise systems • Build and maintain ingestion processes that integrate data from multiple sources into BigQuery • Troubleshoot pipeline failures, data inconsistencies, and production issues to ensure operational stability • Develop and execute unit, system, integration, and user acceptance testing, documenting results and ensuring solution quality • Collaborate with engineering teams, architects, and business stakeholders to translate requirements into effective technical solutions • Participate in technical design discussions, code reviews, project planning, and continuous improvement initiatives • Prepare and maintain technical documentation, development specifications, and implementation plans • Follow security, data governance, and engineering standards when handling sensitive information • Participate in an on-call production support rotation, typically one full week every 4–6 weeks

🎯 Requirements

• 3+ years of professional experience in data engineering, data integration, or related technical roles • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field • Experience designing, developing, and maintaining cloud-based data ingestion pipelines • Experience implementing and supporting data processing workflows in Google Cloud Platform environments • Experience troubleshooting production data pipelines and resolving data quality or integration issues • Familiarity with software development practices, testing methodologies, and technical documentation • Ability to work independently and collaborate effectively with technical teams and business stakeholders • Hands-on experience with Google Pub/Sub for event-driven messaging and data ingestion • Strong knowledge of BigQuery for data warehousing, querying, and processing • Experience with Google Dataform for SQL-based data transformations and workflow management • Experience designing and implementing data ingestion processes into BigQuery from multiple sources • Experience with Google Cloud Storage for cloud-based data storage and integration • Knowledge of Cloud Composer (Apache Airflow) for workflow orchestration and scheduling • Experience using GitHub for version control and collaborative development • Strong SQL skills for data querying, transformation, validation, and troubleshooting • Experience with Google Cloud Data Fusion • Experience connecting to and interacting with relational databases such as SQL Server, DB2, or Oracle • Experience consuming and integrating RESTful APIs and SOAP web services • Familiarity with additional Google Cloud services, databases, and enterprise integrations • Experience using Jira and Confluence for project management and documentation • Previous experience working in the retail industry • Must be based in Colombia and work Eastern Time (ET) hours

🏖️ Benefits

• All mandatory Colombian employment benefits and statutory entitlements, in accordance with applicable labor legislation • A fully remote working arrangement, aligned with Eastern Time working hours • Opportunities for professional growth, collaboration, and continuous learning • A stimulating environment where you can challenge yourself and discover new horizons • A strong culture of innovation and entrepreneurship • Opportunities to work on enterprise-scale data engineering projects using modern cloud technologies