AI Summary
Design and implement enterprise data solutions in Azure, create components for the enterprise data platform, and ensure data consistency and availability.
Key Highlights
Develop data systems and applications for decision-making
Create and maintain data pipelines and solutions in Azure
Contribute to enterprise data platform development
Work with Data Scientists, Data engineers, and Data Architects
Ensure secure and auditable processes for data integrity
Technical Skills Required
Benefits & Perks
Hybrid work setup
Meaningful impact in a forward-thinking environment
Job Description
Undelucram.ro on behalf of:
EPAM Romania
We are looking for a Senior Data Integration Engineer to join our dynamic Data Practice team and contribute to EPAM's strategic projects.
As a Senior Data Integration Engineer, your primary responsibility will be to develop data systems and applications that facilitate decision-making. You will focus on creating and maintaining data pipelines and solutions in public cloud environments such as Azure, and assist in migrating data from on-premises data centers to the cloud. Additionally, you will contribute to enterprise data platform development.
Based in our Cyprus office in a hybrid setup, this is your chance to make a meaningful impact in a forward-thinking environment.
Would you like to be a part of this ambitious and innovative project? We look forward to receiving your application.
Responsibilities
- Design and implement enterprise data solutions in Public Cloud environments (Azure)
- Create components for the enterprise data platform to ensure data consistency and availability
- Work with Data Scientists, Data engineers and Data Architects to address data needs
- Ensure secure and auditable processes to maintain data integrity
- Identify and resolve data-related issues to enhance system quality
- Proven track record as a Data Engineer or similar role with at least 3 years of experience
- Proficiency in SQL and Python
- Background in Public Cloud platforms (Azure), database management systems and ETL/ELT tools
- Hands-on expertise with Databricks and/or Snowflake
- Experience with data acquisition methods such as API calls and FTP downloads, data transformation/normalization, storage solutions (raw files, database servers) and distribution mechanisms (access layers, APIs, entitlements)
- Skills in building components for enterprise data platforms, including Data Warehouses, Operational Data Stores and API-driven access layers
- A bachelor's degree in computer science, information technology or other relevant discipline
- Fluency in English