Senior Data Engineer

We are looking for a skilled and experienced Senior Data Engineer to join our growing team. The ideal candidate will have a strong background in building and maintaining scalable data infrastructure, designing effective data models, and delivering actionable insights that support strategic decision-making. In this role, you will play a key part in optimizing data pipelines, ensuring data reliability, and advancing our data visualization capabilities.

• Design, build, and maintain scalable data infrastructure using Snowflake, Airflow, Fivetran, and DBT to support high-performing data pipelines.
• Utilize advanced SQL and Python skills for data transformation, analysis, and automation.
• Partner with business stakeholders to develop and enhance data marts, addressing issues related to missing, inaccurate, or incomplete data.
• Create and maintain comprehensive testing frameworks to ensure accurate data ingestion and processing, particularly within DBT models, to guarantee end-to-end pipeline reliability.
• Apply site reliability engineering (SRE) principles and leverage tools such as Datadog to monitor ETL workflows and maintain system health.
• Collaborate cross-functionally to gather requirements, uncover opportunities, and deliver high-impact data solutions.
• Contribute as both a collaborative team member and a proactive self-starter who can independently drive projects forward.

• 5+ years of hands-on experience in data engineering, ideally within the fintech space.
• Bachelor’s degree in Computer Science, Engineering, or a related field.
• Strong proficiency in SQL and Python for data manipulation, automation, and performance optimization.
• Demonstrated ability to understand and translate complex business processes into scalable data solutions.
• Deep experience with modern data stack tools, including Snowflake, Airflow, Fivetran, and DBT.
• Excellent communication, collaboration, and problem-solving skills, with a proven ability to troubleshoot complex data issues.
• Solid experience with data modeling, Git version control, and CI/CD practices, particularly in cloud environments (AWS preferred).