A Place for Mom is hiring a
Data Engineer
A Place for Mom
π΅ $150k-$180k
πRemote - United States
Please let A Place for Mom know you found this job on JobsCollider. Thanks! π
Summary
Join A Place for Mom as a Data Engineer and oversee data warehouse operations, design and develop ETL processes, implement data quality checks, collaborate with cross-functional teams, and provide technical support.
Requirements
- Proven experience as a Data Engineer, with significant experience working with data warehouses, ETL processes, and data quality management
- Strong proficiency in Databricks, AWS services, SQL, Python, Spark, Fivetran, Segment event tracking, and ETL tools
- Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets
- Effective communication skills with the ability to convey technical information to non-technical stakeholders
- Bachelorβs degree in Computer Science, Engineering, or a related field, or equivalent working experience
Responsibilities
- Oversee the operations of the data warehouse on Databricks within AWS, ensuring optimal performance and reliability
- Continuously optimize data warehouse performance, including query performance, storage, and data processing efficiency
- Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse
- Manage and optimize data pipelines to ensure timely and accurate data processing and delivery
- Implement and monitor data quality checks to ensure accuracy, completeness, and consistency of data within the warehouse
- Set up and manage monitoring systems to detect and address data issues, performance bottlenecks, and system anomalies
- Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to design and architect scalable, high-performance data solutions that align with business objectives and best practices
- Provide technical support and expertise on data-related issues and queries from other teams
- Create and maintain comprehensive documentation for data processes, ETL jobs, and data warehouse configurations
Benefits
- 401(k) plus match
- Dental insurance
- Health insurance
- Vision Insurance
- Paid Time Off
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