We are seeking a skilled professional to integrate Snowflake with various cloud platforms and ETL tools. This role involves leading the deployment of Snowflake solutions, including data ingestion, transformation, and visualization. The position is remote and will last for a duration of 5 months.Key Responsibilities
Architect end-to-end data warehousing and analytics solutions using Snowflake.
Design scalable and efficient data architectures aligned with business needs and best practices.
Develop and manage data pipelines and workflows.
Optimize performance of data integration processes.
Integrate Snowflake with cloud platforms (AWS, Azure, GCP) and ETL tools (Informatica, DBT, Talend).
Lead deployment of Snowflake solutions including data ingestion, transformation, and visualization.
Design and implement data governance and security policies.
Ensure data accuracy, consistency, and compliance.
Conduct discovery sessions and technical demos.
Provide expert guidance during pre-sales and solution design stages.
Document architectural solutions and best practices.
Train internal teams and clients on Snowflake usage.
Required Qualifications
Bachelor's degree in Computer Science, IT, Data Science, or related field.
5 years of experience in data architecture or solution architecture.
3 years of hands-on experience with Snowflake.
Total 10 years of experience required.
Experience
Proficiency in data sharing and zero-ETL integration.
Strong understanding of data warehousing, data modeling, and ETL/ELT processes.
Proficiency in SQL, Python, and cloud platforms (AWS, Azure, GCP).
Experience with BI tools (e.g., Power BI, Tableau).
Excellent problem-solving, communication, and collaboration skills.
Preferred Skills
Domain knowledge on SAP CRM and Salesforce CRM is an added advantage.
Experience with forecasting, anomaly detection, and classification using Snowflake.
Familiarity with data integration tools like MuleSoft, Streamsets.
Ability to lead technical presentations and proof-of-concepts.
