- Experience
- 2–6 yrs
- Salary
- —
- Openings
- 1
- Posted
- 6 days ago
- Work mode
- In office
- Resume
- Required to apply
Where you'll work
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Job description
About PriceSenz
PriceSenz is a technology-driven company prioritizing artificial intelligence to develop practical products, automated workflows, and client-centric solutions addressing genuine business challenges. Their portfolio includes internal products like School Path, Talentz, ADA-related projects, alongside data-centric client solutions.
Role Overview
The Data Engineer position requires hands-on expertise to construct and sustain scalable data workflows, establishing a robust data foundation across PriceSenz products and client engagements. This role involves end-to-end data lifecycle management — sourcing data from diverse origins, cleansing, transforming, modeling, and preparing it for downstream applications.
The ideal candidate should be adept at handling unclean datasets, enhancing data accuracy, building repeatable workflows, and collaborating with engineering and product teams to create dependable, maintainable systems.
Key Responsibilities
- Develop and maintain comprehensive data workflows integrating multiple data sources.
- Design and optimize data models and structures to support operational needs.
- Conduct data ingestion, transformation, normalization, and enrichment activities.
- Create matching and deduplication algorithms to improve data integrity.
- Implement validation protocols and quality assurance checks.
- Establish processes for data refresh scheduling, exception handling, and governance.
- Support data integration and operational workflows for internal and client products.
- Collaborate with engineering and product divisions to operationalize and manage data systems.
- Document workflows, underlying assumptions, and relevant business rules comprehensively.
Qualifications
- Between two to six years of direct experience in Data Engineering or related practical data roles.
- Proficient in Python programming.
- Advanced SQL skills for managing and querying data.
- Experience managing datasets from multiple sources simultaneously.
- Knowledge of data modeling techniques and normalization principles.
- Familiarity with data quality improvement methods including matching and deduplication.
- Strong analytical thinking and a proactive approach to ownership.
- Adaptability to thrive in fast-paced settings.
Preferred Skills
- Experience working with cloud-based data platforms.
- Familiarity with Business Intelligence (BI) tools.
- Knowledge in workflow automation technologies.
- Previous experience in startup or product-oriented environments.
Equal Opportunity Statement
PriceSenz is committed to providing equal employment opportunities regardless of race, color, religion, age, gender, sexual orientation, gender identity, national origin, or disability status.