Senior Data Engineer, Data Integration

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Requirements:

• Excellent ETL pipeline development skills and hands-on experience with Orchestration (Airflow).
• Experience with CI/CD practices and optimizing data flow within high-volume infrastructures.
• Experience with data ingestion systems (e.g., Fivetran, Airbyte) and reverse ETL systems (e.g., HighTouch, Census).
• Expertise in dimensional modeling, star schemas, and warehousing concepts.
• Experience with message queues (e.g., Kafka) and real-time stream processing.
• Proficiency in designing and maintaining efficient data pipelines within cloud infrastructure (preferably AWS).
• Strong SQL skills and knowledge of containerization (ECS orchestration) and AWS Lambda.
• Ability to explain complex data concepts to technical and non-technical stakeholders.

Responsibilities:

• Empower the Team: Develop tools, frameworks, and workflows to enhance data accessibility and enable data-driven decision-making.
• Build robust alerting and monitoring systems for data quality and reliability.
• Collaborate with various functions to support analyses that influence business decisions.
• Work closely with software engineering teams for collaborative data development.
• Accelerate Business Growth: Synchronize data between Jobber and external systems. Streamline ETL workflows using tools like Airflow and dbt.
• Build data models for easier integration.
• Strategize and innovate: Research emerging technologies to strengthen the data stack.
• Participate in design and code reviews providing mentorship and knowledge sharing.
• Ensure Data Integrity: Establish best practices for maintaining data quality.