Data Engineer - ML Platform

Citratek Inc.
2 days ago

Role details

Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Remote

Tech stack

Airflow
Amazon Web Services (AWS)
Information Engineering
Monitoring of Systems
Python
Azure
SQL Databases
Feature Engineering
Snowflake
Spark
Data Lake
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Data Management
Machine Learning Operations
Data Lakehouse
Docker

Requirements

We are looking for a highly skilled Senior Data Engineer - ML Platform to lead complex, cross-functional technical initiatives in a fast-paced product environment. The ideal candidate should possess strong expertise in Data Engineering, MLOps, AWS cloud services, and scalable ML platform development., * Python, SQL, Apache Spark

  • AWS Glue, Lambda, ECS Fargate
  • Snowflake, Delta Lake, Data Lakehouse
  • MLOps & ML Lifecycle Management
  • Docker, CDK, CI/CD Pipelines
  • Airflow/Dagster (Preferred)
  • Feature Engineering & Model Monitoring

Experience Required

  • 7+ years of experience in Data Engineering and AWS platforms
  • Strong experience building scalable ML/Data platforms
  • Expertise in model deployment, governance, monitoring, and automation
  • Experience with infrastructure-as-code and containerized solutions

Apply for this position