Job
Core
Design, develop, and maintain data pipelines and systems to ingest, transform, and deliver data for decision-making and analytics.
Role type
Data Engineer
Builds
Data pipelines, data models, and ETL processes
Domain
Financial technology / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, AWS (S3, EC2, EMR), Apache Airflow, DBT, Redshift, Snowflake, Kafka
Preferred skills
Data visualization tools (Tableau, Power BI, Looker), Jira
Technologies
Python, AWS, Redshift, Snowflake, DBT, Apache Airflow, Kafka, Tableau, Power BI, Looker, Jira
Responsibilities
Design and maintain data ingestion and delivery pipelines; Create and optimize data models for reporting and BI; Implement ETL processes for data transformation and enrichment; Monitor data quality and implement validation/governance practices; Manage and optimize data storage and processing systems; Collaborate with data scientists and analysts to deliver data solutions.
Seniority
Mid-level, hands-on IC
