[Job-32044] Senior Data Developer, Colombia

Responsibilities

Database Development: Design, build and tune schemas, stored procedures, views, functions and indexes. Lead query-plan analysis and performance work.
Lakehouse Engineering: Build and maintain Databricks pipelines (PySpark / Spark SQL) and dbt models using Kimball dimensional modeling.
Dual-Layer Delivery: Support both the transactional SQL databases used by applications and the lakehouse models used for analytics.
Data Governance & Quality: Manage data access and lineage in Unity Catalog. Implement quality checks and source-to-target reconciliation, and protect sensitive personal data (masking, row-level access).
Engineering Practices: Version database changes in Git, deploy through CI/CD, and review peers' SQL.
Knowledge Transfer & Operations: Take over existing schemas and jobs from previous teams without disrupting production. Document data models and runbooks, and support incident resolution and root-cause analysis.
Collaboration: Work with the Data Architect on modeling standards, and with application developers on API and data contracts.
Mentorship: Mentor mid-level developers and explain technical trade-offs to client architects.

Expert SQL (T-SQL and/or ANSI), including stored procedures, window functions, CTEs, indexing and execution plans
Solid experience with relational databases (SQL Server / Azure SQL preferred, or PostgreSQL or similar)
Hands-on production experience with Databricks, PySpark, Delta Lake and dbt
Solid experience with dimensional modeling (Kimball) and data warehouse design
Experience with Git, CI/CD for database changes and Jira

Experience with orchestration and ingestion tools (Databricks Workflows, Airflow, ADF, Fivetran)
Experience with data quality frameworks (Great Expectations, dbt tests)
Exposure to BI tools (Power BI or Tableau)
Experience with regulated data (education, healthcare or privacy regulations such as LGPD)
Familiarity with AI-assisted development and agentic coding

Nearshore Delivery: Work with North American stakeholders and teams in Brazil and Colombia, keeping strong overlap with US business hours.

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