Data Engineer - Remote, Latin America

Bluelight Consulting is a leading software consultancy dedicated to designing and developing innovative technology that enhances users' lives. With a steadfast commitment to delivering exceptional service to our clients, Bluelight excels in its focus on quality and customer satisfaction. Our mission is not only to create cutting‑edge applications but also to foster a collaborative and enriching work environment where each team member can grow and thrive.

With a presence across the United States and Central/South America, Bluelight is in an exciting phase of expansion, continually seeking exceptional talent to join its dynamic and diverse community.

We are looking for a skilled individual to join our rapidly growing team at Bluelight Consulting. This position is ideal for someone who thrives in a fast‑paced, dynamic environment where everyone's opinions and efforts are valued and appreciated. You will have the opportunity to contribute to challenging and meaningful projects, developing high‑quality applications that stand out in the market. We value continuous learning, personal growth, and hard work, offering a collaborative environment that promotes professional development.

If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply and join us on this exciting journey.

• 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, Snap Logic, Talend Open Studio, Jitterbit, Informatica Power Center, 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 Good Data (preferred), Tableau, Power
  
  BI, or similar.
• Broad experience with multiple RDBMS: MS SQLServer, Oracle, MySQL, Postgre
  
  SQL, 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 Snap Logic or Datastage, Informatica, or related experience.
• 3+ years of SQL experience (No‑SQL experience is a plus).
• Experience designing, building, and maintaining data pipelines.

• 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 elevate 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…