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Senior Data Engineer

2 months ago

Melbourne, Victoria, Australia Cash Full time
About the Role

Cash App is seeking a highly skilled Data Engineer to join our Engineering Operations team. As a Data Engineer, you will play a critical role in ensuring the availability, accuracy, and reliability of data that drives our engineering excellence initiatives.

Key Responsibilities
  1. Data Pipeline Development: Develop a deep understanding of engineering operations at Cash App to design and build data pipelines that surface meaningful insights and opportunities for improvement.
  2. Collaboration and Communication: Collaborate with cross-functional partners, including Engineering, Product, and Operations, to deliver outcomes.
  3. Data Documentation: Create clear documentation, such as data dictionaries and model diagrams.
  4. Initiative Impact Assessment: Partner with Engineering and Product Managers to understand the impact of new initiatives on operational data and ensure accurate data flow.
  5. Data Source Integration: Identify new data sources and build pipelines to integrate them into our data ecosystem.
  6. ETL Process Optimization: Lead the design, implementation, and optimization of ETL processes to ensure timely, reliable, and scalable data pipelines.
  7. Data Pipeline Monitoring: Monitor and troubleshoot data pipelines to identify and resolve issues, ensuring data integrity and availability.
  8. Stakeholder Collaboration: Collaborate with stakeholders to define data requirements and translate them into effective engineering solutions.
  9. Data Query Support: Respond to queries from internal engineering teams regarding the underlying data in dashboards.
Requirements
  1. Experience: 4+ years of experience solving complex data problems, with a focus on building and optimizing ETL pipelines.
  2. Technical Skills: Highly proficient in writing SQL to query relational databases and working with data warehousing solutions.
  3. Cloud Experience: Experience with cloud-based data platforms (e.g., Snowflake, BigQuery) and orchestration tools like Airflow.
  4. Communication Skills: Capable of prioritizing and delivering work independently, with a focus on iterative development.
  5. Leadership Skills: Excels at communicating technical concepts in a clear, precise, and actionable manner to both technical and non-technical audiences.
  6. Project Management: Has a proven track record of leading data engineering projects with high business impact.
Technologies We Use

Snowflake, BigQuery, DynamoDB, Git, Airflow