[8FA] Data Engineer (BI Developer)
San José, San José Province, Costa Rica
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- Work setup
- Unconfirmed
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What you’ll work on
Full postingWrite complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures
Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services
Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices
From the employer’s posting
What you will do Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process
Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices
Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions
What you’ll bring
All qualificationsCore experience
- 5+ years of experience in data engineering, BI development, or similar roles
- Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP)
- Expertise working with SQL, T-SQL, SSIS, etc.
- Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks
- Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions
- Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management
Preferred experience
- Microsoft Fabric or Azure Data Factory strongly preferred
Qualification wording
5+ years of experience in data engineering, BI development, or similar roles
Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP)
Expertise working with SQL, T-SQL, SSIS, etc.
Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks
Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred)
Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management
Tools in this posting
- Python
- SQL
- Azure
- Snowflake
- PySpark
- Power BI
- Databricks
- SQL Server
- Power Query
Source — Tool mentions in context
- Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP) - Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks - Exposure to machine learning workflows or Azure Machine Learning
Project - the aim you'll have We are seeking an experienced Data Engineer / BI Developer to join our team. In this role, you will work across active client projects to design and implement data pipelines, migrate legacy ETL workloads, and build scalable reporting and analytics solutions on the Microsoft data platform. The ideal candidate is equally comfortable writing complex T-SQL, building Power BI reports, and architecting data flows in Microsoft Fabric, and can hit the ground running on day one. Qualifications
- 5+ years of experience in data engineering, BI development, or similar roles - Expertise working with SQL, T-SQL, SSIS, etc. - Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred)
- Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management - Hands-on experience with Azure data services: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and/or Azure Synapse Analytics - Solid understanding of data warehouse concepts: dimensional modeling, star/snowflake schemas, slowly changing dimensions
What you will do - Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures - Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process
- Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions - Develop and manage data models (star schema, snowflake) within Azure Synapse Analytics, Fabric Warehouses, or SQL Server environments - Monitor, troubleshoot, and tune pipeline performance, data quality, and query execution across production and development environments
- Expertise working with SQL, T-SQL, SSIS, etc. - Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred) - Strong hands-on experience with Microsoft Fabric, including Lakehouses, Data Warehouses, Pipelines, Dataflows Gen2, and Notebooks
- Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks - Exposure to machine learning workflows or Azure Machine Learning - Microsoft certifications: DP-700 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer), or equivalent
- Exposure to machine learning workflows or Azure Machine Learning - Microsoft certifications: DP-700 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer), or equivalent What you will do
- Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process - Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services - Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices
- Strong hands-on experience with Microsoft Fabric, including Lakehouses, Data Warehouses, Pipelines, Dataflows Gen2, and Notebooks - Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management - Hands-on experience with Azure data services: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and/or Azure Synapse Analytics
- Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services - Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices - Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions
Job description
Job Description
Project - the aim you'll have
We are seeking an experienced Data Engineer / BI Developer to join our team. In this role, you will work across active client projects to design and implement data pipelines, migrate legacy ETL workloads, and build scalable reporting and analytics solutions on the Microsoft data platform. The ideal candidate is equally comfortable writing complex T-SQL, building Power BI reports, and architecting data flows in Microsoft Fabric, and can hit the ground running on day one.
Qualifications
Expectations - the experience you need
- 5+ years of experience in data engineering, BI development, or similar roles
- Expertise working with SQL, T-SQL, SSIS, etc.
- Proven experience migrating SSIS packages to cloud-native ETL/ELT solutions (Microsoft Fabric or Azure Data Factory strongly preferred)
- Strong hands-on experience with Microsoft Fabric, including Lakehouses, Data Warehouses, Pipelines, Dataflows Gen2, and Notebooks
- Proficiency with Power BI: report and dashboard development, DAX, data modeling, Power Query (M), and report publishing/workspace management
- Hands-on experience with Azure data services: Azure Data Factory, Azure Data Lake Storage, Azure SQL Database, and/or Azure Synapse Analytics
- Solid understanding of data warehouse concepts: dimensional modeling, star/snowflake schemas, slowly changing dimensions
- Experience working in Agile/Scrum delivery environments with multiple concurrent workstreams
- Experience in a client-facing consulting or professional services environment
Nice to Have
- Experience with Salesforce data integrations or Salesforce API consumption (REST/SOAP)
- Familiarity with Python or PySpark for data transformation within Fabric Notebooks or Azure Databricks
- Exposure to machine learning workflows or Azure Machine Learning
- Microsoft certifications: DP-700 (Fabric Analytics Engineer), PL-300 (Power BI Data Analyst), DP-203 (Azure Data Engineer), or equivalent
What you will do
- Write complex, high-performance T-SQL and SQL queries for data transformation, reporting layers, and stored procedures
- Migrate legacy SSIS packages to modern Microsoft Fabric equivalents, ensuring data integrity, performance, and maintainability throughout the process
- Design, develop, and optimize ETL/ELT pipelines using Microsoft Fabric (Data Factory, Dataflows Gen2, Lakehouse, Warehouses) and Azure Data Services
- Build, maintain, and optimize Power BI reports and dashboards, including semantic model design, DAX measures, and data modeling best practices
- Collaborate with client stakeholders to gather requirements, document data flows, and translate business needs into scalable technical solutions
- Develop and manage data models (star schema, snowflake) within Azure Synapse Analytics, Fabric Warehouses, or SQL Server environments
- Monitor, troubleshoot, and tune pipeline performance, data quality, and query execution across production and development environments
- Participate in architecture discussions and contribute to solution design decisions for new client engagements
- Document technical designs, pipeline logic, and data definitions clearly for both technical and non-technical audiences
Additional Information
We are looking for a similar if not identical profile and PI as Kevin Narvaes
https://www.smartrecruiters.com/app/people/applications/2d652fe2-1743-4544-953e-807d26044e83/overview
Company Description
Company Description
We are Software Mind, an awesome team of engineers who are ready to ramp up any top-notch company’s projects! Our aim? To always be one step ahead. Become part of a multicultural company in constant growth with an excellent work environment certified by Great Place To Work!
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Source & posting history
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- Pay
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- Location & working pattern
San José, San José Province, Costa Rica
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- Status in our records
- Unknown — awaiting fresh evidence
- First seen by us
- Aug 24, 2026
- Recorded sightings
- 70
- Last seen by us
- Oct 6, 2026
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