Description

Design and execute the data strategy for the finance analytics engineering team, owning end-to-end ETL pipelines, system architectures, and self-service data platforms.

This role is on-site.

Responsibilities

• Build and improve data gathering, modeling, reporting capabilities, and self-service platforms.
• Design, implement, and maintain end-to-end ETL pipelines and system architectures.
• Perform database analysis and performance optimizations for cloud ecosystems.
• Collaborate with Data Engineers, Analysts, Data Scientists, and Product Owners to define data requirements.
• Apply deep understanding of data modeling, data catalog concepts, and data formats.

Required Skills

• 6+ years of experience working within cloud ecosystems (AWS and GCP).
• Expertise in SQL and hands-on experience with both SQL and NoSQL databases.
• Proven experience with data warehouse solutions such as Snowflake, BigQuery, or Redshift.
• Strong knowledge of ETL design, implementation, and maintenance.
• Proficiency with Python, Airflow, DBT, and Fivetran.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related Software Engineering background.

Preferred Skills

• Experience with data visualization tools like Tableau, Sisense, or Looker.
• Experience with Amplitude.

Key Skills

Education

ANY GRADUATE