Сравним вакансию с вашим действующим резюме и составим письмо под эту роль.
Описание вакансии
Responsibilities:
— Work with Python and data libraries such as pandas, multiprocess, and Google Cloud SDK.
— Develop and manage ETL/ELT processes using technologies like REST API, GraphQL, DBT.
— Orchestrate data pipelines with tools such as Airflow, Astronomer, and DBT cloud.
— Handle data querying, transformation, quality assurance, and validation in live production systems.
— Work with various SQL databases including SQL Server, Oracle, MySQL, BigQuery, and Snowflake.
— Manage serialized data formats like JSON, AVRO, XML, CSV, including compressed and encoded files.
— Ingest data via REST APIs and perform data loading/unloading.
— Communicate effectively in English within an international environment.
Requirements:
— At least 2 years of experience with Python and relevant data libraries.
— Minimum 2 years of experience in ETL/ELT technologies and data pipeline orchestration.
— Hands-on experience with Snowflake.
— Strong problem-solving skills and experience with large data volumes.
— Proficiency in SQL across multiple database systems.
— Familiarity with serialized data formats and data ingestion techniques.
— English proficiency sufficient for international work.
Benefits:
— Advantageous to have experience designing and implementing data pipelines over cloud architecture.
— Experience with CI/CD deployments.
— Experience working with GIT.
Контакты работодателя доступны по кнопке «Откликнуться» после входа.
Мэтч и сопроводительное
Сравним вакансию с вашим действующим резюме и составим письмо под эту роль.
Автоотклики