Senior Data Integration Engineer

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