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Senior Data Engineer

2 months ago

Melbourne, Victoria, Australia Mod IT Services GmbH Full time
Job Description

**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 crucial role in ensuring the availability, accuracy, and reliability of data that drives our engineering excellence initiatives.

Key Responsibilities:

  • Develop a deep understanding of engineering operations at Cash App to design and build data pipelines that surface meaningful insights and opportunities for improvement.
  • Collaborate with Business Intelligence (BI) and Data Analysts to deliver outcomes.
  • Create clear documentation, such as data dictionaries and model diagrams.
  • Partner with Engineering and Product Managers to understand the impact of new initiatives on operational data and ensure accurate data flow.
  • Identify new data sources and build pipelines to integrate them into our data ecosystem.
  • Lead the design, implementation, and optimization of Extract, Transform, Load (ETL) processes to ensure timely, reliable, and scalable data pipelines.
  • Monitor and troubleshoot data pipelines to identify and resolve issues, ensuring data integrity and availability.
  • Collaborate with stakeholders to define data requirements and translate them into effective engineering solutions.
  • Respond to queries from internal engineering teams regarding the underlying data in dashboards.

Requirements:

  • 4+ years of experience solving complex data problems, with a focus on building and optimizing ETL pipelines.
  • Highly proficient in writing SQL to query relational databases and working with data warehousing solutions.
  • Experience with cloud-based data platforms (e.g., Snowflake, Big Query) and orchestration tools like Airflow.
  • Capable of prioritizing and delivering work independently, with a focus on iterative development.
  • Excels at communicating technical concepts in a clear, precise, and actionable manner to both technical and non-technical audiences.
  • Proven track record of leading data engineering projects with high business impact.

What We Offer:

  • Opportunity to work with a dynamic and innovative team.
  • Chance to develop and implement cutting-edge data solutions.
  • Collaborative and inclusive work environment.
  • Competitive salary and benefits package.