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Data Engineer with Snowflake or Python
4 dni temu
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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