data engineer for data pipelines

Itransition develops high-quality software systems using modern technologies and helps clients solve complex technical issues.

• Solve complex technical issues;
• Develop high-quality software systems using modern technologies.

• 2+ Years of experience with Python and strong knowledge of data libraries, including pandas, multiprocess, and Google Cloud SDK;
• 2+ Years of experience with ETL/ELT technologies, including REST API, GraphQL, and DBT;
• Experience with data pipeline orchestration tools such as Airflow, Astronomer, and DBT Cloud;
• Hands-on experience with Snowflake;
• Experience with problem-solving and root cause analysis in live production systems;
• Experience querying and transforming large volumes of data;
• Experience with data quality and data validation;
• Experience with SQL, including SQL Server, Oracle, MySQL, BigQuery, and Snowflake;
• Experience working with serialized data formats, including JSON, AVRO, XML, and CSV;
• Experience working with compressed and encoded files;
• Experience ingesting data through REST APIs, transforming data, and loading or unloading data;
• English proficiency sufficient to work in an international environment;
• Nice to have: designing and implementing data pipelines over cloud architecture, CI/CD deployments, GIT.

• Competitive compensation depending on qualifications and skills;
• Career development system with clear skill qualifications;
• Flexible working hours aligned with the employee's schedule;
• Corporate medical insurance covering private and public medical centers;
• Online English courses;
• Corporate parties and events for employees and their children;
• Gym membership compensation and corporate sports competitions, including cybersport;
• 5 Days of paid sick leave per year without requiring a sick-leave certificate;
• Projects for clients including PayPal, Wargaming, Xerox, Philips, adidas, and Toyota.