About the job
Are you an exceptional Data Engineer with a flair for problem-solving and a passion for optimizing data processes? At pridelogic, we are on the lookout for a technical powerhouse to join our innovative team. If you pride yourself on being the technical leader who consistently delivers complex features ahead of schedule, and you write code that stands as an example for others, we want to hear from you!
This position is designed for those who know they are extraordinary in their field. We seek developers with a proven track record of success in data engineering.
Your Responsibilities:
Develop, optimize, and scale data pipelines and infrastructure utilizing technologies such as Python, TypeScript, Apache Airflow, PySpark, AWS Glue, and Snowflake.
Design, implement, and monitor data ingestion and transformation workflows including DAGs, alerting systems, retries, SLAs, lineage, and cost management.
Collaborate with platform and AI/ML teams to automate ingestion, validation, and real-time compute workflows, aiming towards a feature store.
Enhance engineering dashboards with pipeline health metrics and observability features for comprehensive insight.
Model data and execute efficient, scalable transformations in Snowflake and PostgreSQL.
Create reusable frameworks and connectors to standardize internal data publishing and consumption processes.

