Data Management and BI Senior Executive, GOC
HybridBarranquilla, Atlántico, Colombia
Job Summary
Design, develop, and optimize enterprise ETL/ELT pipelines using Azure Data Factory, Azure Data Lake Storage, and serverless technologies. Build complex Azure T-SQL solutions, including query tuning and indexing, while developing automation frameworks with Python and API orchestration. Own production pipeline reliability through root-cause analysis, incident resolution, and long-term stability measures. Define coding standards via code reviews and technical audits, then partner with US onshore leadership to translate business needs into scalable technical solutions. Lead end-to-end pipeline architecture and modernization initiatives involving Databricks, dbt, and advanced DevOps practices. Monitor SLAs, mitigate risk, and support compliance across data assets. Work closely with teams across the United States, Europe, and Asia to deliver high-impact solutions in a collaborative, multicultural environment.
Required Qualifications
- 3–4 years of progressive experience in data engineering
- Expert-level hands-on experience with Azure Data Factory
- Expert-level hands-on experience with advanced Azure T-SQL/SQL
- Expert-level hands-on experience with cloud data platforms such as Azure and/or GCP
- Proven experience designing, optimizing, and managing large-scale, production-grade ETL/ELT pipelines
- Experience with ADF orchestration
- Experience with Azure Data Lake Storage
- Advanced SQL performance tuning skills
- Complex query optimization skills
- Partitioning skills
- Indexing skills
- High-volume data processing skills
- Strong Python skills
- API orchestration skills
- Advanced experience with production operations
- Troubleshooting skills
- Root-cause analysis skills
- High-availability processing skills
- Monitoring skills
- SLA management skills
- CI/CD automation skills
- Experience with Databricks
- Experience with dbt
- Experience with Terraform
- Experience with Wrike
- Experience with Jira
- Experience with Azure DevOps
- DP-203 certification
- GCP Professional Data Engineer certification
- Must be able to work in a Remote or Hybrid Work Modality
- Must reside in Mexico or Colombia
- Must be legally authorized to work in Mexico or Colombia
Desired Qualifications
- Experience with Adverity
- Experience with Dataflow
- Experience with BigQuery
- Experience with WPP Open
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