Lead Data Engineer for Innovative Ingestion and Reporting Pipelines
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Job Description
Elevate data engineering as a Senior Data Engineer, focusing on building robust ingestion pipelines and enhancing financial reporting models. Collaborate closely with finance and analytics to deliver seamless data solutions in a dynamic environment.
In this role, you will play a key part in developing and maintaining data pipelines with a focus on data quality and alerting capabilities. Your expertise in dbt and AWS is crucial for delivering reliable data insights and automation across various stakeholders. Additionally, you will enhance CI/CD practices and support role management within Databricks for optimal data handling.
Key Responsibilities:
- Build and maintain data ingestion pipelines from diverse sources
- Develop dbt models for financial reporting use cases
- Ensure data quality through monitoring and alerting systems
- Collaborate with finance to define new data sources
- Automate documentation and improve CI/CD processes
Requirements
- 5+ years in Data Engineering roles
- Expert-level dbt proficiency required
- Strong Python coding skills needed
- Experience with AWS and cloud data warehouses
- Familiarity with orchestration frameworks like Airflow
Drive impactful data solutions and play a vital role in enhancing data accessibility and quality across business functions.
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