Data Engineer with Snowflake or Python
Job Description:
We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will be a Snowflake expert with extensive experience in data pipeline programming, cloud technologies, and DevOps practices. The role involves working on cutting-edge data solutions that provide actionable insights and support data exploration with Business Intelligence and Self-service tools.
Key Responsibilities:
- Design, develop, and maintain data pipelines using Python or R.
- Utilize Snowflake for efficient data storage and retrieval.
- Implement and manage ETL/ELT processes, ensuring data quality and real-time streaming capabilities.
- Collaborate with cross-functional teams to support data architecture and data modeling projects.
- Apply DevOps practices using Git, GitLab, Docker, Jenkins, and Terraform.
- Ensure seamless integration and maintenance of various data storage solutions (filesystem, relational, MPP, NoSQL).
- Perform performance analysis, troubleshooting, and remediation in Unix/Linux environments.
- Provide technical onboarding and support to platform users, offering consultancy sessions and resolving support requests.
Required Skills:
- 4+ years of experience with programming languages focused on data pipelines (Python or R).
- Advanced proficiency in SQL.
- Solid experience with Snowflake (not a beginner).
- 3+ years of experience in data pipelines maintenance and data architecture concepts.
- 3+ years of experience with cloud technologies emphasizing data pipelines (Airflow, DBT, Glue, Dataflow).
- Excellent knowledge of DevOps practices and tools (Git, GitLab, Docker, Jenkins, Terraform).
- Proficiency in Unix/Linux environments.
- Familiarity with data serialization languages such as JSON, XML, YAML.
Preferred Skills:
- Training in data mesh/data products concepts.
- Experience with Talend and other related platforms.
- Knowledge of pharma data formats (SDTM).
- Experience with observability/authorization tools like Monte Carlo/Immuta.
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