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Tech Stack
Tools & technologiesAWSAzureCloudETLGoogle Cloud PlatformSQL
About the role
Key responsibilities & impact- Develop, maintain, and monitor scalable data pipelines and integration workflows
- Support data ingestion, transformation, and storage across cloud and on-prem systems
- Ensure the reliability, quality, and performance of data platforms
- Proactively monitor pipelines, jobs, and databases for performance and issues
- Collaborate with Senior Data Engineers, Architects, and cross-functional teams
- Analyze and process diverse datasets including equipment telemetry & machine health data, sales, service, and customer data
Requirements
What you’ll need- Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field
- 2+ years of experience in programming (any modern language), SQL and relational databases, data processing or pipeline development
- Experience with data pipelines, ETL/ELT processes, or integration workflows
- Experience in data warehouses or analytical data platforms
- Version control tools (e.g., Git)
- Understanding of data modelling (relational & dimensional) and core data engineering concepts and best practices
- Exposure to REST APIs and cloud platforms (Azure, AWS, or GCP)
Benefits
Comp & perks- Great people and place to work with a hybrid work opportunity
- Career advancement and training opportunities
- Pension and employee stock purchase plans with company contributions
- Extensive health benefits including group medical and dental benefits, and short-term and long-term disability benefits
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
SQLdata processingpipeline developmentETLELTdata modelingrelational databasesdimensional databasesdata ingestiondata transformation
Soft Skills
collaborationproblem-solvinganalytical thinkingcommunication
