Data Engineer - Remote, Latin America (Tijuana)
Link-Worldwide
Qualifications
- Experience with AWS services including S3, Athena, EC2, EMR, and Glue.
- Ability to solve ongoing issues with operating the cluster.
- Experience with the integration of data from multiple data sources.
- Experience with database technologies such as SQL Server, Redshift, Postgres, and RDS.
- Experience with one or more data integration platforms: Pentaho Kettle, SnapLogic, Talend OpenStudio, Jitterbit, Informatica PowerCenter, or similar.
- Knowledge of best practices and IT operations in an always‑up, always‑available service.
- Experience with or knowledge of Agile Software Development methodologies.
- Excellent problem‑solving and troubleshooting skills.
- Excellent oral and written communication skills with a keen sense of customer service.
- Experience with collecting, managing, and reporting on large data stores.
- Awareness of data governance and data quality principles.
- Well‑versed in business analytics, including basic metric building and troubleshooting.
- Familiar with web services: XML, REST, SOAP.
- Experience with Git or similar version control software.
- Experience with integrations with and/or use of BI tools such as GoodData (preferred), Tableau, PowerBI, or similar.
- Broad experience with multiple RDBMS: MS SQL Server, Oracle, MySQL, PostgreSQL, Redshift.
- Familiarity with SaaS/cloud data systems (e.g., Salesforce).
- Data warehouse design: star‑schemas, change data capture, denormalization.
- SQL/DDL queries and tuning techniques such as indexing, sorting, and distribution.
- BS or MS degree in Computer Science or a related technical field.
- 3+ years of data pipeline development such as SnapLogic or Datastage, Informatica, or related experience.
- 3+ years of SQL experience (No‑SQL experience is a plus).
- Experience designing, building, and maintaining data pipelines.
Responsibilities
- Monitor execution and performance of daily pipelines, triage and escalate any issues.
- Collaborate with analytics and business teams to improve data models and data pipelines that feed business intelligence tools, increasing data accessibility and fostering data‑driven decision‑making across the organization.
- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes.
- Write unit/integration tests, contribute to engineering wiki, and document work.
- Perform data analysis required to troubleshoot data‑related issues and assist in the resolution of data issues.
- Work within AWS/Linux cloud systems environment in support of data integration solutions.
- Work closely with a team of frontend and backend engineers, product managers, and analysts.
- Collaborate with team members, share knowledge, provide visibility of accomplishments, and follow directions when provided.
Company Benefits
- Competitive salary and bonuses, including performance‑based salary increases.
- Generous paid‑time‑off policy.
- Technology/Office stipend.
- Health coverage.
- Adaptable working hours.
- Opportunity to work remotely.
- Continuing education, training, and conferences.
- Company‑sponsored coursework, exams, and certifications.
Vacante publicada el 22 horas atrás
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