Data Engineer

Overview

Job Description

Responsibilities

• - Data ecosystem onboarding: Get familiar with how our services, databases, and data warehouse are structured and interact.
• - Data quality contribution: Start contributing to data quality initiatives like the Talent Graph.
• - CDC initiative support: Join CDC-related efforts including real-time transformations and implementing Data Contracts.
• - CDC ownership and evolution: Take the lead on CDC-related initiatives.
• - Platform-driven data quality leadership: Own data quality initiatives from the platform side.
• - Data warehouse maintenance and support: Help maintain and evolve our analytics data warehouse.
• - Architectural improvement proposals: Identify and drive improvements to our data architecture.

Required Skills

• - CDC & event-driven architecture expertise: Deep experience with tools like Debezium, Kafka, and Data Contracts.
• - Strong data infrastructure skills: Comfortable with schema evolution, backfilling, pipeline reliability.
• - Autonomous technical leadership: Frame problems, propose solutions, and lead implementation without close supervision.
• - Cross-functional collaboration: Work closely with other engineering and data teams.
• - Clear written communication: Document your thinking and share progress proactively.
• - Experience with our toolstack: Hands-on experience with modern data and platform tools.

Benefits

• - Fully remote work environment
• - Asynchronous communication
• - Competitive salary
• - Positive impact on team and community
• - Opportunities for professional growth