JOB   DETAILS\

What the role is all about

• Design, build, and maintain data pipelines and datasets; participate in data transformation requests coming through a team board; collaborate with team members on implementation approach and determining the most efficient ways to tackle work.
• The role is approximately 70-80% data engineering with opportunities to build out software engineering capabilities as Cupid’s functionality expands.
• The team works with many unknowns, requiring comfort with ambiguity and collaborative problem-solving rather than clear, predefined solutions.
• Works closely with the senior and mid-level data engineers within the Cupid squad; collaborates with the data analyst on requirements; engages with other software engineering squads on cross-functional needs; interacts with Salesforce team and customer support team for data remediation.
• The role involves determining accuracy of aggregated data and managing remediation across multiple source systems and customer teams, which requires strong technical rigor and cross-team coordination.

Who we’re looking for

• Someone with a strong knowledge of SQL, ideally with hands-on experience designing and building robust data pipelines.
• Experience with data pipeline design and implementation.
• Airflow or similar workflow orchestration tools.
• BigQuery or equivalent data warehouse.
• DBT or similar data transformation tool.
• Strong data modelling skills and disciplined data quality practices.
• A collaborative mindset- comfortable contributing ideas and shaping direction.
• AWS or GCP cloud platform experience.
• Experience from smaller teams were wearing multiple hats is required

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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