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Your Role And Responsibilities
Design and develop Snowflake Data Cloud solutions, including data ingestion pipelines, data architecture, data governance, and security.
Build data pipelines and perform migrations, optimizing data systems from the ground up.
Develop database architectures and data warehouses to ensure optimal data delivery across customer projects.
Lead technical teams and mentor junior engineers on best practices for data ingestion, performance tuning, and troubleshooting.
Collaborate with customers on next-generation data initiatives and support their data strategies.
Work remotely from anywhere in the US.
Preferred Education Master's Degree
Required Technical And Professional Expertise
Bachelor’s degree in engineering, computer science, or an equivalent area.
Expertise in evaluating, selecting, and integrating ingestion technologies to solve complex data challenges.
Leadership in architectural decisions for high-throughput data ingestion frameworks, including real-time data processing and analytics.
Mentorship of junior engineers in best practices for data ingestion, performance tuning, and troubleshooting.
5+ years in related technical roles, data management, database development, ETL, data warehouses and pipelines.
Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark).
Experience building ETL/ELT ingestion pipelines with tools like DataStage, Informatica, Matillion.
SQL scripting.
Cloud experience on AWS; experience with Azure and GCP is a plus.
Python scripting and Scala proficiency.
Ability to prepare reports and present to internal and customer stakeholders.
Track record of sound problem-solving skills and an action-oriented mindset.
Strong interpersonal skills, including assertiveness and the ability to build strong client relationships.
Experience working in Agile teams.
Experience hiring, developing, and managing a technical team.
Preferred Technical And Professional Experience
Advanced Snowflake platform knowledge, including data sharing, pipelines, and security; ability to design and implement complex data and AI use cases on Snowflake.
Cloud architecture expertise, designing and implementing scalable, secure cloud architectures for data and AI applications; knowledge of cloud migration, deployment, and management best practices.
Data engineering best practices, such as data modeling, warehousing, and governance; ability to optimize data and AI solutions for performance and scalability.
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Sprachkenntnisse
- English
Hinweis für Nutzer
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