Data Engineer - Remote, Latin America
Bluelight ConsultingBolivia
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What we are looking for
- Experience with AWS services including but not limited to S3, Athena, EC2, EMR, and Glue.
- Ability to solve any ongoing issues with operating the cluster.
- Experience with the integration of data from multiple data sources.
- Experience with various database technologies such as SQLServer, Redshift, Postgres, and RDS.
- Experience with one or more of the following 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/reporting on large data stores.
- Awareness of Data governance and data quality principles.
- Well-versed in Business Analytics including basic metric building and troubleshooting.
- Understand Integration architecture: application integration and data flow diagrams, source-to-target mappings, data dictionary reports.
- 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 SQLServer, 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/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.
What you'll be doing
- Develop and maintain data models for core package application and reporting databases to describe objects and fields for support documentation and to facilitate custom application development and data integration.
- Monitoring execution and performance of daily pipelines, triage and escalate any issues.
- Collaborates 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.
- Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes.
- Writes unit/integration tests, contributes to engineering wiki, and documents work.
- Performs 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 solution
- Works closely with a team of frontend and backend engineers, product managers, and analysts.
- Teamwork: Collaborate with team members. Share knowledge, provide visibility of interpersonal accomplishments and follow directions when provided.
Company Benefits
- Competitive salary and bonuses, including performance-based salary increases.
- Generous paid-time-off policy
- Flexible working hours
- Work remotely
- Continuing education, training, conferences
- Company-sponsored coursework, exams, and certifications
Originally posted on Himalayas
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Where this listing came from
- 03 Sep 2026Himalayas first sighting
Seen on 1 board over 0 days.