Über
Key Responsibilities Architect and implement scalable data pipelines and solutions using Snowflake, ensuring optimal data ingestion, transformation, and delivery. Establish and enforce Snowflake best practices for performance tuning, cost management, and security. Experience with Snowflake data cataloging. Implement data quality and governance standards across the Snowflake ecosystem. Mentor and guide data engineers and analysts on Snowflake design patterns, SQL optimization, and platform capabilities. Partner with cloud teams: AWS to ensure data solutions align with enterprise architecture and compliance requirements. Lead troubleshooting and performance optimization efforts across the data platform. Required Qualifications
Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or related field. 8+ years of experience in Data Engineering or related technical field. 5+ years of hands-on experience working with Snowflake Cloud Data Platform in enterprise environments. Solid understanding of cloud data architecture, preferably AWS (S3, Lambda, Glue) or Azure (Data Factory, Synapse). Complete understanding of Snowflake integration with AWS. Hands on Python experience, ingestion frameworks with Python and AWS. Hands on experience with Python for data transformation and automation. Preferred Qualifications
Snowflake certification (SnowPro Advanced Architect or SnowPro Core).
Should you be interested, please send me a copy of your resume in word format along with the following details ASAP.
Full Name: Current Location: Hourly rate on C2C/W2: Work Authorization: Earliest Available date to start: Date and times available to interview: Two Professional References:(Preferably Supervisory references):
Sprachkenntnisse
- English
Hinweis für Nutzer
Dieses Stellenangebot stammt von einer Partnerplattform von TieTalent. Klick auf „Jetzt Bewerben”, um deine Bewerbung direkt auf deren Website einzureichen.