Logo for Turtle Trax S.A.

ETL Developer

Role overview

Qualifications

  • 3+ years of experience in ETL development and data integration
  • Strong SQL skills and experience with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL
  • Experience with ETL tools such as Informatica, SSIS, Talend, DataStage, Pentaho, or similar platforms
  • Understanding of data warehousing concepts, dimensional modeling, and data governance

Responsibilities

  • Design, develop, test, and maintain ETL processes and data pipelines
  • Extract, transform, and load data from multiple source systems into data warehouses and data lakes
  • Develop and optimize SQL queries, stored procedures, and database objects
  • Monitor ETL jobs and troubleshoot data integration issues

Key facts

Other skills

  • Analytical Skills
  • Problem Solving
  • Communication
  • Teamwork
  • Time Management

About the company

Turtle Trax S.A. logo

Turtle Trax S.A.

Travel & Tourism

Turtle Trax S.A. is a Costa Rican company that organizes rural tourism projects on the Pacific coast of Costa Rica’s Nicoya Paninsula. We create a unique experience for both international and national travellers by combining sea turtle conservation, hands-on volunteer work, community projects, and locally based tourism. Turtle Trax runs four sea turtle nesting beach conservation projects in partnership with PRETOMA, a Costa Rican NGO. The focus of the projects is to protect sea turtle nests both directly, with hatcheries, and indirectly, through community education and sustainable tourism.

Company details

Company typeStartup
IndustryTravel & Tourism
Company size2 - 10

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Job description

ETL Developer

Location: Mexico
Employment Type: Full-time

Role Overview

We are seeking an ETL Developer to design, develop, and maintain data integration solutions that support business intelligence, analytics, and operational reporting needs. The ideal candidate will have experience building scalable ETL processes, working with large datasets, and ensuring data quality across multiple systems.

Responsibilities

  • Design, develop, test, and maintain ETL processes and data pipelines.

  • Extract, transform, and load data from multiple source systems into data warehouses and data lakes.

  • Develop and optimize SQL queries, stored procedures, and database objects.

  • Monitor ETL jobs and troubleshoot data integration issues.

  • Ensure data accuracy, integrity, and quality throughout the data lifecycle.

  • Collaborate with Data Engineers, Analysts, Architects, and business stakeholders to understand data requirements.

  • Perform data validation, reconciliation, and performance tuning.

  • Create and maintain technical documentation for ETL processes and data flows.

  • Support production deployments and ongoing maintenance activities.

Required Qualifications

  • 3+ years of experience in ETL development and data integration.

  • Strong SQL skills and experience working with relational databases such as SQL Server, Oracle, PostgreSQL, or MySQL.

  • Experience with ETL tools such as Informatica, SSIS, Talend, DataStage, Pentaho, or similar platforms.

  • Understanding of data warehousing concepts, dimensional modeling, and data governance.

  • Experience analyzing and troubleshooting complex data issues.

  • Familiarity with Agile development methodologies.

  • Strong analytical, problem-solving, and communication skills.

  • Advanced English communication skills.

Preferred Qualifications

  • Experience with cloud data platforms such as AWS, Azure, or Google Cloud.

  • Knowledge of modern data integration tools such as Azure Data Factory, AWS Glue, or Databricks.

  • Experience with Python or scripting languages for data processing and automation.

  • Familiarity with Big Data technologies and distributed data processing frameworks.

  • Experience with CI/CD processes and version control tools such as Git.

Nice to Have

  • Experience supporting enterprise-scale data environments.

  • Exposure to BI and reporting tools such as Power BI, Tableau, or Looker.

  • Knowledge of data quality, governance, and security best practices.

English Level: Advanced

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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