[Job
Core
Design, implement, and maintain reliable, reprocessable, and cost-efficient end-to-end ELT/ETL data pipelines, modeling bronze, silver, and gold data layers in Snowflake.
Role type
Senior Data Engineer (ELT/ETL)
Builds
Batch-oriented data pipelines, dbt models, and FastAPI services for data exposure and automation.
Domain
Financial data / Cloud Data Engineering
Deliverable
production ML models
Required skills
SQL, Snowflake, Airflow, AWS Lambda, Python, FastAPI, Pandas, dbt, Git, CI/CD
Preferred skills
EKS/Kubernetes, Prometheus, Grafana, CloudWatch, Great Expectations, Soda, Pydantic, JSON Schema, Debezium, DMS, SQS, SNS, Kafka
Technologies
Snowflake, Postgres, AWS, Airflow, FastAPI, Python, Pandas, dbt, Git, EKS, Prometheus, Grafana, CloudWatch, Great Expectations, Soda, Pydantic, JSON Schema, Debezium, DMS, SQS, SNS, Kafka
Responsibilities
Design and maintain ELT/ETL pipelines; orchestrate data loads with Airflow and AWS Lambda; model data layers in Snowflake; develop dbt models, macros, and tests; build Python/FastAPI integrations; write and optimize SQL; implement data quality checks and governance standards.
Seniority
Senior, hands-on IC