Snowflake Architect

Role: Snowflake Architect

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

Skills required:

>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