Senior Data Integration Engineer
New
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EPAMData Engineering
Opportunity to work remotely within PolandFull-TimeSenior
Salary12000 - 23000 PLN per month gross
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Job Details
- Languages
- En B2
- Experience
- 3+ years
- Required Skills
- AWSPythonSQLETLSnowflakeAzureRESTful APIsDatabricks
Requirements
- 3+ years of professional experience as a Data Engineer or in a similar role
- Advanced knowledge of SQL and Python
- Hands-on experience with public cloud platforms such as AWS and/or Azure
- Experience with DBMS and ETL/ELT tools
- Hands-on experience with Databricks and/or Snowflake
- Practical experience with data acquisition using APIs, FTP downloads, and other data sources
- Experience with ETL processes, data transformation, and normalization
- Experience with data storage solutions including raw files and database systems
- Experience building components for enterprise data platforms such as Data Warehouses, Operational Data Stores, and data access layers
- Experience developing data access solutions including APIs, file extracts, and user query interfaces
- Bachelor’s degree in Computer Science, Information Technology, or a related technical field
Responsibilities
- Design, build, and manage enterprise data solutions in public cloud environments such as AWS and Azure
- Develop and maintain data pipelines and components of enterprise data platforms
- Implement data acquisition processes using APIs, FTP and other data sources
- Perform data transformation, normalization, and integration from raw data to structured database schemas
- Build and maintain data storage solutions including raw files, databases, and data platforms
- Develop data distribution and access solutions including APIs, file extracts, user queries, and access layers
- Implement secure and auditable data processes to ensure data integrity, accuracy, and availability
- Collaborate with data scientists, data architects, and other stakeholders to understand and deliver data requirements
- Troubleshoot data-related issues and continuously improve the quality and reliability of data systems
- Contribute to EPAM strategic data projects and enterprise data platform initiatives
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