Data Engineer - Snowflake/Dataiku

You will architect and optimize scalable data pipelines, datasets and analytical workflows at EPAM in Copenhagen, Denmark, working in a hybrid model. Initially at one of our Clients in the Advanced Manufacturing / Life Sciences space. Using Snowflake, Dataiku, SQL and Python, you enable feature engineering for machine learning and support robust data products for analytics and business intelligence. You collaborate with data science, product and delivery teams to deliver production-ready solutions with a focus on data quality, performance and maintainability.

Responsibilities Build and maintain scalable data pipelines and analytical workflows using Snowflake and Dataiku

Write and optimize SQL for data transformation, feature engineering and analytical use cases

Develop and maintain data models, datasets and views in Snowflake for downstream consumption

Create, validate and maintain reusable features in Dataiku for machine learning models

Leverage existing features and datasets to reduce duplication and improve consistency

Implement automated testing, monitoring and CI/CD for production data pipelines

Ensure data quality and follow enterprise data governance and security standards

Troubleshoot data issues across pipelines, including upstream AWS services

Support data requirements for analytics, reporting and business intelligence

Collaborate with data science, product and delivery teams to translate business needs into reliable data solutions

Requirements 6-8+ Years of Data Engineering experience at Enterprise scale

Hands-on experience with Snowflake and Dataiku

Strong SQL skills, including query optimization and data transformation

Proficiency in Python for data engineering workflows

Experience building and maintaining production data pipelines

Solid understanding of data modeling and feature engineering for analytics and machine learning

Experience with automated testing, monitoring and CI/CD for data pipelines

Familiarity with AWS data services, such as Lambda, S3, Glue and Step Functions, for troubleshooting upstream pipelines

Ability to work effectively within governed enterprise environments

Strong problem-solving skills and ability to collaborate across technical and business teams

Nice to have Experience in healthcare, life sciences or customer-support analytics

Familiarity with feature stores and reusable feature management

Experience supporting business intelligence and reporting datasets

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