Data Analytics Engineer I

is a fintech company that powers digital payment experiences worldwide. The Financial Infrastructure team builds and maintains core systems that process hundreds of billions of financial events each year.

As an Analytics Engineer, you will partner with Finance and Treasury teams to translate business requirements into robust data models and pipelines, ensuring data accuracy, reliability, and regulatory compliance as scales.

• Design and build data pipelines that process data from our systems, services, and applications.
• Implement monitoring and alerting frameworks to ensure data pipeline performance and reliability.
• Collaborate with other analytics engineers to design and implement scalable data models that support downstream operations and analytical queries.
• Maintain data governance and security standards across our systems.
• Evaluate and implement new technologies to improve our platform and systems.
• Work with Finance stakeholders to translate business requirements into technical specifications and Service Level Agreements.

• 2+ years of experience in an Analytics Engineering or Data Engineering role focused on large scale data transformation and warehousing.
• Excellent SQL coding skills.
• Experience with cloud based data warehouse technologies such as Snowflake, Google BigQuery, or AWS Redshift.
• Experience with data transformation tools such as dbt or Dataflow.
• Understanding of data modeling techniques.
• Experience with visualization platforms such as Looker, Tableau, or Apache Superset.
• Knowledge of software engineering best practices and their application to data processing systems.
• Familiarity with Python, Java, or Flink is a plus.
• Strong attention to detail.
• Ability to work autonomously in a fast paced and dynamic environment.
• Strong communication and interpersonal skills.