We are seeking a Senior Data Engineer to join our team and drive the performance reliability and scalability of our data platform. This role focuses on Snowflake optimization pipeline automation and mentoring junior engineers while contributing to key architectural decisions.
Responsibilities
Monitor Snowflake health and performance
Debug and resolve failures in data ingestion or transformation
Support platform tenants with Snowflake and Apache Airflow-related queries
Build and maintain an end-to-end testing framework to ensure platform changes dont impact tenant flows across ingestion transformation and orchestration
Tune queries and optimize data storage for speed and cost efficiency
Automate manual steps using GitLab CI/CD pipelines
Support the release process
Document data architecture pipeline processes and best practices
Collaborate with the Snowflake team to research and adopt new tools or frameworks
Mentor junior colleagues and support their skill development
Contribute to architectural decisions around data engineering implementation and tooling
Requirements
5 years of experience in data engineering
Proficiency in SQL and Python for advanced query writing optimization and automation
Expertise in Snowflake Databricks or Oracle
Familiarity with AWS or Azure cloud services for data engineering
Understanding of CI/CD pipelines using GitLab or similar tools
Skills in Apache Airflow and dbt for workflow orchestration and data transformation
English proficiency at B2 level or higher
Nice to have
Knowledge of Terraform for infrastructure as code
Familiarity with Kafka for event streaming and messaging
Required Experience:
Senior IC
Employment Type : Full Time Experience: years Vacancy: 1
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Senior Data Engineer • Bucharest, Bucuresti, Romania