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Snowflake data architect

Basildon
Avensys Consulting
Data architect
Posted: 5h ago
Offer description

Avensys is a reputed global IT professional services company headquartered in Singapore. Our service spectrum includes enterprise solution consulting, business intelligence, business process automation and managed services. Given our decade of success, we have evolved to become one of the top trusted providers in Singapore and service a client base across banking and financial services, insurance, information technology, healthcare, retail and supply chain.

We are currently looking for Data Architect who has proven track record in IT Industry. This is an exciting opportunity to expand your skill set, achieve job satisfaction and work-life balance. More details as below.

Role: Snowflake Architect

Location: Basildon, UK/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

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