Job Description, Responsibilities & Requirements
About the Position
We are looking for a Senior Data Integration Engineer to strengthen our team. As a Data Integration Engineer, you will be responsible for designing, implementing, and maintaining robust data integration solutions that ensure seamless data flow.
Responsibilities
- Design and implement Data Integration solutions
- Implement ETL (Extract, Transform, Load) processes to ensure the availability, quality, and consistency of data
- Collaborate with cross-functional teams, including data engineers, data analysts, and business stakeholders, to define integration requirements and deliver solutions
- Document technical designs, workflows, and processes for internal and external stakeholders
- Maintain data security, integrity, and compliance across all integration solutions
Requirements
- At least 3 years of relevant development experience and practice with data management, data storage, data modeling, data analytics, data migration, and database design
- In-depth understanding of ETL/ELT processes, data modeling, and data warehousing concepts
- Strong programming skills in Python with experience in developing scalable and efficient code for data processing and integration
- Practical hands-on experience in developing Data Solutions in at least one major public cloud environment (AWS, Azure, GCP)
- Practical knowledge of leading cloud data warehousing solutions (e.g., Redshift, Azure Synapse Analytics, Snowflake, etc.)
- Advanced knowledge of Data Integration tools (e.g., Azure Data Factory, AWS Glue, etc.)
- English level of minimum B2 (Upper-Intermediate) for effective communication
We Offer
- Opportunity to work in a hybrid role in the Czech Republic
- Be part of a dynamic and innovative team
About the Company
[Company description if present]