Data Engineer

EPAM Systems; Bogotá ciudad; On-site; COP 12,000,000 - 18,000,000; Full time

Benefits offered by this job

Healthcare benefits

Paid time off

Upskilling & certification courses

Global career opportunities

Job summary

EPAM Systems is seeking a Data Engineer to join a team developing an MLOps platform that automates machine learning model development, deployment, and feature engineering. The platform leverages Azure Databricks, Azure Data Factory, and Azure DevOps to build a CI/CD pipeline that feeds the Databricks Feature Store, enabling ML model development in Model Lab.

The role involves migrating Spark pipelines to Azure, collaborating on forecasting models, and deploying ML solutions to production, while

Qualifications

• 2+ years of experience with PySpark.
• Strong background in Data Science core skills.
• Proficiency in feature engineering and ML pipeline development.
• Experience migrating data pipelines to cloud environments.
• English proficiency at B2 level or higher.

Responsibilities

• Migrate Spark feature engineering pipelines to Azure.
• Collaborate to identify and develop a forecasting model.
• Support deployment of ML model to production.
• Design and develop CI/CD pipeline feeding the Databricks Feature Store.
• Work with Data Scientists and engineers to align feature engineering with ML requirements.
• Ensure reliability and scalability of data pipelines across the platform.
• Troubleshoot and optimize Spark-based workflows during migration.

Skills

PySpark

Data science

ML pipeline development

Cloud migration

English proficiency

Tools

Azure Databricks

Azure Data Factory

Azure DevOps

MLflow

Docker

Kubernetes

Job description

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

We are seeking a Data Engineer to join a team developing an MLOps platform that automates machine learning model development, deployment, and feature engineering. The featureOps component of the platform leverages Azure Databricks, Azure Data Factory, and Azure DevOps to build a CI/CD pipeline that feeds the Databricks Feature Store, with generated features used for ML model development in Model Lab.

Responsibilities

• Migrate existing Spark feature engineering pipelines to Azure
• Collaborate with the team to identify and develop a forecasting model
• Support the deployment of the developed machine learning model to production
• Contribute to the design and development of the CI/CD pipeline feeding the Databricks Feature Store
• Work closely with Data Scientists and engineers to align feature engineering with ML model requirements
• Ensure the reliability and scalability of data pipelines across the platform
• Troubleshoot and optimize existing Spark-based workflows during migration

Requirements

• 2+ years of experience working with PySpark
• Strong background in Data Science core skills
• Proficiency in feature engineering and machine learning pipeline development
• Experience migrating data pipelines to cloud environments
• English proficiency at B2 level or higher

Nice to have

• Familiarity with MLflow and Docker
• Knowledge of Azure Kubernetes Services, Azure Data Factory, and Azure Databricks
• Understanding of ML model deployment practices

We offer

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

EPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.