Вакансія Data Engineer Middle

Skills

• SQL
• Python
• Java
• Scala
• DWH
• Dataform
• SQLMesh
• Snowflake
• BigQuery
• Amazon Redshift
• AirFlow
• Airbyte
• Kafka

Опис вакансії

How exactly you can influence the development of the Company:

• developing and maintaining the Data Platform based on dbt and Snowflake to accelerate obtaining high-quality insights from data
• implementing modern approaches to solving tasks
• proposing solutions for optimizing data workflows
• monitoring Data Platform metrics
• participating in code review
• closely collaborating with Data Analytics and Data Scientists

Challenges for three months:

• getting acquainted with the existing data model in the Data Platform and its architecture
• conducting analysis to identify bottlenecks and suboptimal processes
• setting up a process for systematically improving the most suboptimal queries

Certainly, we will teach you, but it’s good to have:

• experience in working with Airflow, Airbyte
• experience in working with Kafka, Kafka Connect

To achieve the results, you will need:

• at least 2 years of experience as a Data Engineer
• practical experience with SQL at a confident level
• experience in developing with one of the programming languages (Python, Java, Scala, etc.)
• experience in creating data models for DWH and their implementation (dimensional modelling, data vault, etc.)
• experience in working with dbt or alternative tools (Dataform, SQLMesh)
• experience in working with cloud data warehouses and understanding their architecture and operating principles (Snowflake, BigQuery, Redshift, etc.)
• English proficiency at Intermediate level