Data Engineer

Requirements:

• 1+ years with Python including strong knowledge of data libraries (pandas, multiprocess, Google Cloud SDK)
• 1+ 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 one of these - BigQuery, Snowflake or Amazon Redshift
• 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

Nice to have:

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

We can 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
• Options to work remotely
• Corporate medical insurance covering services of private and public medical centers
• English courses online
• Corporate parties and events for employees and their children
• Internal conferences, workshops and meetups for learning and experience sharing
• Gym membership compensation, corporate sport competitions (cybersport included)
• 5 days of paid sick leave per year with no obligation to submit a sick-leave certificate