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* Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS.
* Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets.
* Collaborate with data analysts, scientists, and other stakeholders to define and fulfill data requirements.
* Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability.
* Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake.
* Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity.
* Stay up-to-date with the latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS
Role: Snowflake Architect
Location: Dublin, Ireland
Work from Client office 5 days weekly
Responsibilities
* Design, develop, and maintain robust data pipelines and ETL processes using Snowflake on AWS.
* Implement data warehousing solutions, ensuring efficient storage, retrieval, and transformation of large datasets.
* Collaborate with data analysts, scientists, and other stakeholders to define and fulfill data requirements.
* Optimize performance and scalability of Snowflake data warehouse, ensuring high availability and reliability.
* Develop and maintain data integration solutions, ensuring seamless data flow between various sources and Snowflake.
* Monitor, troubleshoot, and resolve data pipeline issues, ensuring data quality and integrity.
* Stay up-to-date with the latest trends and best practices in data engineering and cloud technologies. Cloud Services such as AWS
Qualifications
>Bachelor’s degree in computer science, Engineering, or a related field.
>5+ years of experience in data engineering, with a strong focus on Snowflake and AWS.
>Proficiency in SQL, Python, and ETL tools (Streamsets, DBT etc.)
>Hands on experience with Oracle RDBMS
>Data Migration experience to Snowflake
>Experience with AWS services such as S3, Lambda, Redshift, and Glue.
>Strong understanding of data warehousing concepts and data modeling.
>Excellent problem-solving and communication skills, with a focus on delivering high-quality solutions.
>Understanding/hands on experience in Orchestration solutions such as Airflow
>Deep knowledge of key non-functional requirements such as availability, scalability, operability, and maintainability
Evaluation Will Be Done According To Below
Area of Assessment
Priority
Data ArchitectMust HaveData MigrationMust HaveData ModelingMust HaveDBT KnowledgeShould HaveETL DesignMust HaveSnowflake Designer/DeveloperMust HaveAWS (S3, ETL\EMR, Security, Lambda etc )Must HaveLeadership/Team handlingMust HaveCommunication and CollaborationMust HaveStreamSetShould HavePythonShould Have
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Contract
Job function
* Job function
Design, Art/Creative, and Information Technology
* Industries
IT Services and IT Consulting
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