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Tech Stack
Tools & technologiesCloudETLPythonSparkSQL
About the role
Key responsibilities & impact- Design, build, and orchestrate scalable data pipelines using Microsoft Fabric to support efficient data ingestion, transformation, and delivery
- Implement and manage a robust medallion (Bronze/Silver/Gold) architecture to enhance data quality, consistency, and usability
- Develop and maintain transformation logic, including data cleansing, standardization, deduplication, and mapping, while modernizing legacy processes by migrating Python-based workflows into Fabric-native solutions
- Ensure strong data governance by implementing validation, quality checks, and end-to-end traceability across pipelines
- Continuously optimize data processing and refresh strategies to support near real-time reporting and reduce data latency
- Work under Agile methodologies and frameworks such as Scrum or Kanban
- Provide daily status and feedback on the work performed
- Assist in the analysis, design, development, and deployment of necessary data
- Provide accurate explanations of any written code
- Communicate with internal and external personnel in English or Spanish to discuss requirements and specifications, provide status updates, and explain the work performed
Requirements
What you’ll need- 7+ years of experience in data engineering, data integration, or related roles
- Strong hands-on experience with Microsoft Fabric (Lakehouse, Data Warehouse, Dataflow Gen2, pipelines)
- Proven expertise in designing and implementing ETL/ELT pipelines and scalable data architectures
- Strong proficiency in SQL and/or Spark-based transformations
- Experience with data quality, validation, and lineage concepts
- Demonstrated experience working with large, complex datasets in cloud environments
- Proven ability to modernize legacy data processes and automate manual workflows
- Fully Bilingual (Spanish and English)
Benefits
Comp & perks- Paid time off, including vacation and sick leave
- Company-sponsored health insurance coverage
- Retirement plan to help you plan for the future
- Hybrid work model offering flexibility between office and remote work
- Flexible working hours to support work-life balance
- Continuing education reimbursement to encourage professional development
- Company-paid life insurance
ATS Keywords
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Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data engineeringdata integrationETLELTSQLSparkdata cleansingdata standardizationdata deduplicationdata mapping
Soft Skills
communicationfeedbackanalysisdesigndevelopmentdeploymentproblem-solvingcollaborationbilingual