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Tech Stack
Tools & technologiesAzureETLOraclePythonRDBMS
About the role
Key responsibilities & impact- Design, develop, and maintain scalable ETL/ELT pipelines using Databricks and Python.
- Build, test, and support integrations between Databricks, Oracle, and downstream systems.
- Develop and maintain high-quality data extracts for internal and external stakeholders.
- Own and document inbound and outbound data feeds.
- Monitor data pipelines for performance, reliability, and quality; identify and resolve issues.
- Design and optimize data models supporting operational, analytical, and financial reporting.
- Contribute to continuous improvement of the data platform using industry best practices.
- Partner with technical and business stakeholders to gather requirements and deliver solutions.
- Support internal applications and ensure business continuity.
- Collaborate effectively across engineering and cross-functional teams.
Requirements
What you’ll need- Bachelor's degree in Computer Science or related field
- 3+ years of Python and Databricks Notebook experience
- 2+ years of Azure Databricks experience
- 5+ years of relational database (RDBMS) experience
- Experience building scalable ETL/ELT pipelines
- Strong problem-solving, communication, and collaboration skills
- Ability to manage multiple priorities and work independently
Benefits
Comp & perks- Remote working environment
- Collaborative and supportive culture
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
ETL DevelopmentELT DevelopmentData Pipeline MonitoringData Quality AssuranceData ExtractionData IntegrationData ModelingPerformance OptimizationProblem SolvingRequirements Gathering
Soft Skills
CommunicationCollaborationIndependent WorkTime Management
Certifications
Bachelor's Degree in Computer Science
