Data Engineer Middle

Itransition is looking for a talented Data Engineer that is willing to solve complex technical issues while developing high quality software systems using modern technologies.

Requirements:

• 2+ years with Python including strong knowledge of data libraries (pandas, multiprocess, Google Cloud SDK);
• 2+ years of experience in ETL/ELT technologies (REST API, GraphQL, DBT, etc. ) and data pipeline orchestration (e.g., Airflow, Astronomer, DBT cloud, etc);
• Hands-on experience with Snowflake;
• Problem-solving and root cause analysis in live production systems along with experience querying and transforming large volumes of data, data quality and data validation;
• Experience in SQL (SQL Server, Oracle, MySQL, BigQuery, Snowflake);
• Comfortable working with serialized data format (JSON, AVRO, XML, CSV) as well as compressed and encoded files;
• Comfortable with ingesting data using REST APIs, data transformations and data loading/unloading techniques;
• English proficiency sufficient to work in an international environment.

Nice to have:

• Capable of designing and implementing data pipelines over cloud architecture;
• Experience working with CI/CD deployments;
• Experience working with GIT.

We offer:

• Projects for such clients as PayPal, Wargaming, Xerox, Philips, Adidas and Toyota
• Competitive compensation that depends on your qualification and skills
• Career development system with clear skill qualifications
• Flexible working hours aligned to your schedule
• Options to work remotely