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Senior Data Engineer
SysMap Solutions. Develop, maintain, and enhance data ingestion, transformation, and persistence pipelines .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in Data Engineering, focusing on the development and maintenance of data ingestion and transformation pipelines. Proficient in integrating data sources within cloud environments and ensuring data availability for analytics and business intelligence applications.
Highest-signal resume keywords
Data EngineeringPipeline DevelopmentCloud Data EnvironmentsData GovernanceDatabricks
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data IngestionData TransformationData PersistenceData ProcessingData QualityData OrganizationTechnical AnalysisProblem-SolvingData AvailabilityMachine Learning
Soft Skills
CollaborationCommunication
Tools & Technologies
AWSAzureData LakeData Catalog ToolsDatabricks
Industry Keywords
Data GovernanceData MeshFederated GovernanceBusiness IntelligenceAnalytics Initiatives
Tech Stack
Tools & technologiesAWSAzure
About the role
Key responsibilities & impact- Develop, maintain, and enhance data ingestion, transformation, and persistence pipelines
- Integrate data sources and organize information in the Data Lake
- Contribute to the evolution of data processing workflows, with a focus on reliability, performance, and maintainability
- Collaborate on data governance, cataloging, and data flow documentation practices
- Support data availability for consumption by applications and analytics initiatives
- Work closely with technical and business teams to understand requirements and propose solutions
Requirements
What you’ll need- Strong experience in Data Engineering and pipeline development
- Experience working with cloud data environments and Data Lake architectures
- Experience integrating, processing, and persisting data
- Knowledge of data governance, quality, and organization practices
- Strong technical analysis, problem-solving, and collaboration skills
- Experience with Databricks (a plus)
- Experience with AWS and/or Azure (a plus)
- Knowledge of data catalog tools (a plus)
- Familiarity with Data Mesh concepts and federated governance (a plus)
- Experience making data available for BI and Machine Learning solutions (a plus)
Benefits
Comp & perks- Work arrangement: 100% remote
- Duration: Indefinite
- Start date: Immediate