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Keyrus
Keyrus
1001 – 5000 Darbinieki
H1B vīzas sponsorsB2BDatu analītikaKonsultācijas
Keyrus ir starptautisks datu un konsultāciju uzņēmums, kas palīdz organizācijām pārvērst datus atziņās un uz informāciju balstītā rīcībā. Uzņēmuma darbība aptver datu analītiku, konsultācijas datu jomā un datu pārvaldību, izmantojot no piegādātājiem neatkarīgas pieejas, kas pielāgotas dažādām uzņēmējdarbības vajadzībām. Keyrus darbojas 18 valstīs un apvieno komandas, kuru uzmanības centrā ir analītiskā kompetence, sadarbība un praktiska inovācija. Darbinieki var turpināt attīstīt savas prasmes, izmantojot uzņēmuma KLX mācību platformu, un piedalīties projektos, ko veido atvērta, iekļaujoša un pārredzama darba kultūra.
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Vakances uzņēmumā

Google Cloud Data Engineer – Colombia Remote

Build scalable Google Cloud data pipelines for Keyrus enterprise intelligence solutions. Work with BigQuery, Pub/Sub, Dataform, Cloud Storage, and Cloud Composer.

COKolumbijaAttālinātiLīgumsVidējais līmenisVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
AirflowApacheBigQueryGoogle Cloud PlatformMākonisOracleSOAPSQL

Apraksts

  • Create and maintain scalable data ingestion pipelines and workflows on Google Cloud Platform.
  • Build and optimize data processing and transformation solutions with BigQuery, Dataform, Pub/Sub, Cloud Storage, and Cloud Composer.
  • Write SQL queries to extract, transform, validate, and troubleshoot data across enterprise systems.
  • Integrate data from multiple sources into BigQuery through reliable ingestion processes.
  • Resolve pipeline failures, data inconsistencies, and production issues to keep operations stable.
  • Develop and run unit, system, integration, and user acceptance tests; document results and verify solution quality.
  • Work with engineers, architects, and business stakeholders to turn requirements into effective technical solutions.
  • Contribute to technical design, code reviews, project planning, and ongoing improvements.
  • Create and update technical documentation, development specifications, and implementation plans.
  • Apply security, data governance, and engineering standards when handling sensitive information.
  • Join the production support on-call rotation, typically covering one full week every four to six weeks.

Prasības

  • At least three years of professional experience in data engineering, data integration, or a related technical role.
  • Bachelor’s degree in computer science, information technology, engineering, or a related field.
  • Experience designing, building, and maintaining cloud-based data ingestion pipelines.
  • Experience implementing and supporting data processing workflows on Google Cloud Platform.
  • Experience diagnosing production data pipelines and resolving data quality or integration issues.
  • Familiarity with software development practices, testing approaches, and technical documentation.
  • Ability to work independently and collaborate effectively with technical teams and business stakeholders.
  • Hands-on experience using Google Pub/Sub for event-driven messaging and data ingestion.
  • Strong BigQuery skills for data warehousing, querying, and processing.
  • Experience using Google Dataform for SQL-based transformations and workflow management.
  • Experience building processes to ingest data from multiple sources into BigQuery.
  • Experience with Google Cloud Storage for cloud storage and data integration.
  • Knowledge of Cloud Composer (Apache Airflow) for workflow orchestration and scheduling.
  • Experience using GitHub for version control and team development.
  • Strong SQL skills for querying, transforming, validating, and troubleshooting data.
  • Experience with Google Cloud Data Fusion.
  • Experience connecting to relational databases such as SQL Server, DB2, or Oracle.
  • Experience integrating REST APIs and SOAP web services.
  • Familiarity with other Google Cloud services, databases, and enterprise integrations.
  • Experience using Jira and Confluence for project tracking and documentation.
  • Previous experience in the retail industry.
  • Must be based in Colombia and available to work Eastern Time hours.

Priekšrocības

  • Mandatory Colombian employment benefits and statutory entitlements under applicable labor law.
  • Fully remote work aligned with Eastern Time hours.
  • Opportunities for professional development, collaboration, and ongoing learning.
  • A stimulating workplace with opportunities to take on challenges and explore new horizons.
  • A workplace culture centered on innovation and entrepreneurship.
  • Work on enterprise-scale data engineering projects using modern cloud technologies.

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