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Data Engineer
Elder ResearchData Engineer for Elder Research designing and maintaining scalable ETL pipelines. Collaborating with teams to implement data standards and ensure data quality.
Tech Stack
Tools & technologiesETLPythonSQLUnity
About the role
Key responsibilities & impact- Join a motivated, career-oriented team as a Data Engineer.
- Design, build, and maintain ETL pipelines across diverse data sources.
- Implement data management standards and ensure data quality practices.
- Collaborate with teams to optimize data loading and management processes.
Requirements
What you’ll need- At least three (3) years of professional experience in data engineering or a related field.
- Demonstrated ability to design, build, and maintain scalable ETL pipelines across diverse data sources.
- Familiarity with data governance, data quality, and data management practices consistent with Enterprise Data Management (EDM) standards.
- Strong SQL and Python skills (or equivalent) to ingest and transform data from flat files, JSON, XML, Excel, APIs, and graph databases.
- Hands-on experience loading, managing, and optimizing data within Databricks Unity Catalog and SQL Server managed instances. Proficient with streaming/batch ingestion frameworks and modern Lakehouse architecture.
- Proven capability in implementing standard processes to ensure data quality, lineage, reliability, and performance while collaborating with cross-functional teams.
- Experience supporting a fraud detection, anomaly detection, or financial oversight analytics environment.
Benefits
Comp & perks- Employee wellness programs
- Flexible work arrangements
- Professional development opportunities
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 PipelineSQLPythonData GovernanceData QualityData ManagementStreaming IngestionBatch IngestionLakehouse ArchitectureData Transformation
Soft Skills
CollaborationProblem-Solving