The Role
Design, build, and optimize scalable data pipelines and ETL/ELT workflows using Snowflake, SQL, and Python. Develop data models, schemas, stored procedures, ingestion processes, and validation systems. Manage Snowflake performance, cost, security, access controls, and governance. Monitor and troubleshoot data quality and pipeline issues, integrate cloud storage and enterprise applications, and support testing, deployment, code reviews, and production operations.
Summary Generated by Built In
Key Responsibilities
- Design and develop scalable data pipelines and ETL/ELT workflows.
- Develop and optimize data solutions using Snowflake.
- Write complex and optimized SQL queries for data transformation and analysis.
- Develop data ingestion pipelines from multiple structured and unstructured sources.
- Implement data extraction, transformation, loading, and validation processes.
- Work with Python for data processing and automation.
- Design data models, schemas, tables, views, and stored procedures in Snowflake.
- Implement Snowflake performance optimization and cost-management techniques.
- Work with Snowflake Streams, Tasks, Stages, Snowpipe, and Dynamic Tables.
- Integrate Snowflake with cloud storage and other enterprise applications.
- Monitor data pipelines and troubleshoot data quality/performance issues.
- Implement data security, access controls, and governance.
- Collaborate with Data Architects, Analysts, BI teams, and business stakeholders.
- Participate in code reviews, testing, deployment, and production support.
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The Company
What We Do
AlgoLeap specializes in AI-powered software solutions, digital product engineering, and IT consulting services, focusing on digital transformation and AI-driven innovation.
