Senior Python Data Engineer (Finance Technology)

As a Senior Python Data Engineer at Crypto.com, you will be responsible for designing and refactoring Directed Acyclic Graphs (DAGs) using Python and Apache Airflow, managing sensitive data through internal tools, and ensuring alignment on data requirements with teams across the company. Your role centers around delivering streamlined data extraction, transformation, and reporting capabilities for our Finance teams, all while maintaining comprehensive documentation to support effective collaboration.

To excel as a Senior Python Data Engineer at Crypto.com, you must be proficient in Python scripting and SQL for data querying and transformation. Experience with Apache Airflow for creating DAGs, familiarity with tools such as GitHub, Docker, and AWS, along with strong communication skills to interact with stakeholders, is essential. Bonus skills that will give you an edge include knowledge of Elixir, Cloudera Data Warehouse, and AWS Athena/Tableau.

At Crypto.com, collaboration is key for a Senior Python Data Engineer. You will engage with Data Science, Data Warehouse, Exchange, Backend, and Finance teams to translate business needs into technical solutions, ensuring that everyone is aligned on data requirements and project deliverables. Keeping open lines of communication and maintaining detailed documentation will facilitate smoother hand-offs and teamwork.

Crypto.com places a strong emphasis on personal and professional growth for our Senior Python Data Engineers. We offer internal mobility programs that encourage career development, allowing you to explore diverse roles within the company. Our supportive and ambitious team environment fosters innovative thinking and provides a unique chance to sharpen your skill set, paving the way for new career paths.

The work culture at Crypto.com is transformational and empowering. As a Senior Python Data Engineer, you'll find yourself in a proactive environment surrounded by talented individuals who are dedicated to supporting one another. We believe in fostering an inclusive atmosphere where every team member contributes to our ultimate goal of making cryptocurrency available to everyone. Flexibility in work hours and a hybrid setup ensure a balanced work-life experience.

In your response, highlight your specific experience designing data pipelines, particularly mentioning technologies such as Python and Apache Airflow. Discuss how you’ve ensured data quality and accuracy, detailing a particular project where your pipeline directly influenced business operations or decision-making.

When answering this question, emphasize your organizational skills and discuss specific strategies like using project management tools or predefined metrics to prioritize tasks. Share an example that illustrates how this approach led to successful project completion within tight deadlines.

Discuss any challenges you’ve encountered with SQL, such as performance issues with complex queries or data integrity concerns. Explain the steps you took to resolve those issues and how those experiences have shaped your approach to database management.

Provide examples of your interactions with stakeholders, focusing on how you effectively gathered requirements and ensured their needs were met in your projects. Describe your communication style, and how you fostered collaboration among different teams.

In your answer, outline your expertise in using GitHub, focusing on your experience with version control, commit strategies, branching, and collaboration practices. Mention any important projects where these skills facilitated successful teamwork.

Explain your methodologies for maintaining data quality, including validation processes and testing strategies you apply before finalizing data pipelines. Use examples of past projects where data quality was a priority and the outcomes achieved.

Discuss various techniques you implement for optimizing SQL performance, such as query indexing, proper use of joins, and limiting data scopes. Provide examples of instances where your optimizations yielded significant performance improvements.

When discussing your experience with Apache Airflow, describe how you have used it to design and manage Directed Acyclic Graphs (DAGs). Share specific instances where Airflow improved workflow efficiency or project effectiveness.

Articulate the importance of documentation in your projects. Discuss how maintaining clear documentation facilitates communication, aids collaboration, and enhances understanding of data flows and processes for everyone involved.

Express your enthusiasm for Crypto.com’s mission and vision. Share how your skills and career aspirations align with the company's goals in cryptocurrency and technology and how you can contribute to the team’s success.