Data Engineer* / Machine Learning Engineer*
Core
Design and implement scalable, robust data platforms and end-to-end ETL pipelines to enable data-driven services and analyses for clients across various industries.
Role type
Data Engineer / Machine Learning Engineer
Builds
Scalable distributed data platforms, data processing pipelines, and data services in cloud, on-premise, or hybrid environments.
Domain
Data Engineering & Machine Learning
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, Java, Cloud architecture, ETL pipeline design, Machine Learning model deployment, Distributed systems, Container orchestration
Preferred skills
Experience with Databricks, Spark, Kafka, Airflow, dbt, BigQuery, Snowflake, Flask, FastAPI, Docker, Kubernetes
Technologies
Python, SQL, Java, Databricks, Spark, Kafka, Airflow, dbt, BigQuery, Snowflake, AWS, GCP, Azure, Flask, FastAPI, Docker, Kubernetes
Responsibilities
Consult with clients on technical feasibility and implementation of digital innovations, design scalable data architectures, implement data processing processes, deploy machine learning models into existing IT systems.
Seniority
Mid-level, hands-on IC
