Senior Data Integration Engineer

We are looking for aSenior 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