Senior Data Engineer

4 days ago


New York, New York, United States A Place For Mom Full time
About A Place for Mom

A Place for Mom is the leading online resource connecting families searching for senior care with a team of expert advisors providing insight-driven, personalized solutions.

Job Description

We are seeking a highly skilled Sr. Data Engineer to join our team and contribute to the development of our data warehouse and ETL processes. As a key member of our data engineering team, you will be responsible for designing, developing, and maintaining our data warehouse on Databricks within AWS, ensuring optimal performance and reliability.

Key Responsibilities:
  • Data Warehouse Operations:
    • 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.
  • ETL Development and Maintenance:
    • 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.
  • Data Quality and Monitoring:
    • 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.
  • Cross-Functional Collaboration:
    • 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.
  • Documentation and Best Practices:
    • Create and maintain comprehensive documentation for data processes, ETL jobs, and data warehouse configurations.
    • Implement and promote best practices for data engineering, including coding standards, data governance, and security measures.
Requirements:
  • Experience: Proven experience as a Data Engineer, with significant experience working with data warehouses, ETL processes, and data quality management.
  • Technical Skills: Strong proficiency in Databricks, AWS services, SQL, Python, Spark, Fivetran, Segment event tracking, and ETL tools.
  • Analytical Skills: Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets.
  • Communication: Effective communication skills with the ability to convey technical information to non-technical stakeholders.
  • Education: Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent working experience.
Compensation:
  • Base Salary: $150,000 to $180,000
  • Bonus - 20% of annual earnings
  • Benefits:
    • 401(k) plus match
    • Dental insurance
    • Health insurance
    • Vision Insurance
    • Paid Time Off

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