Snowflake Architect

Snowflake Architect – ETL, AIRFLOW, AWS, SQL, Python, and ETL tools (Streamsets, DBT), RDBMS

A Snowflake Architect is required for a long-term project with a fast-growing company.

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