Senior Data Engineer
jobs.com
AirflowAmazon RedshiftApacheAWSCloudDistributed SystemsEC2JenkinsPythonSQLTerraform
Job Level
Mid-LevelSenior
Tech Stack
AzureCloudERPETLSQL
About the role
- Overview: Data Engineer specializing in Snowflake; design, implement and maintain data architecture
- Responsibilities: Data transformations and design: Collaborate with cross-functional teams to understand data requirements and design scalable data transformations using Snowflake
- Snowflake implementation and maintenance: Configure and optimize Snowflake environments; implement and maintain data pipelines and ETL processes
- Data modeling: Design and implement data models to support analytical needs; work with data scientists, analysts
- Performance optimization: Monitor and optimize Snowflake query performance; apply storage, indexing, partitioning best practices
- Data integration & automation: Integrate data from various sources into Snowflake; manage pipelines; collaborate with data source owners; develop and deploy ML models to automate processes and integrate customer data across systems; build predictive models to anticipate internal data needs
- Security and compliance: Implement security measures; ensure data governance compliance
- Documentation: Create and maintain documentation; provide training on Snowflake best practices
- Collaboration: Work with data scientists, analysts, and IT to deliver data solutions; integrate Snowflake with other systems
Requirements
- Bachelor's degree in Data or Computer Science, Information Technology, or a related field
- Proven experience as a Data Engineer with a focus on Snowflake
- In-depth knowledge of Snowflake architecture, features, and best practices
- Proficiency in SQL
- Experience with data modeling tools and AI/ML framework
- Strong problem-solving skills and the ability to optimize data workflows for performance
- Experience with cloud platforms (e.g., Snowflake, Azure) and related services
- Familiarity with data integration tools and ETL processes
- Excellent communication and collaboration skills
- Certifications in Snowflake or related technologies are a plus
- Strong understanding of data integration practices and API connectivity across SaaS platforms
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