Itransition
Data Engineer Middle
Designs and builds data pipelines, ETL/ELT workflows, and cloud-based data infrastructure using Python, Snowflake, and Airflow for international clients.
- Compensation
- Not disclosed
- Location
- Тбилиси
- Work setup
- Remote
- Seniority
- Middle
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 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
Full description
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 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
- Compensation for medical expenses
- 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