Snowflake Data Engineer
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Summary
A mid-junior (1-3 yrs) data engineer who designs, builds, and maintains scalable data pipelines and ETL/ELT workflows in Snowflake, optimizes warehouse performance, and ensures data quality and governance while collaborating with analysts and BI developers. Core tech: Snowflake, SQL, cloud data integration.
We are seeking a skilled Snowflake Data Engineer with 1-3 yrs. of experience, to design, develop, and maintain scalable data pipelines and data solutions using Snowflake and modern cloud data technologies.
Data Engineering & Development
- Design, develop, and maintain scalable data pipelines and data integration processes.
- Develop and optimize ETL/ELT workflows using Snowflake and related data engineering tools.
- Build and maintain data models, schemas, views, tables, and stored procedures in Snowflake.
- Integrate data from various sources, including databases, APIs, files, and cloud-based applications.
- Develop reusable and efficient SQL queries for data transformation and processing.
- Implement data ingestion and transformation processes following established data engineering standards.
Snowflake Administration & Optimization
- Develop and maintain Snowflake databases, warehouses, schemas, and data structures.
- Monitor Snowflake workloads and optimize queries, warehouse utilization, and overall performance.
- Implement appropriate data storage, partitioning, clustering, and optimization strategies.
- Manage data access and permissions in coordination with security and infrastructure teams.
- Monitor data pipeline performance and troubleshoot data processing issues.
Data Quality & Governance
- Implement data validation and quality checks throughout data pipelines.
- Identify and resolve data inconsistencies, duplication, and transformation issues.
- Support data governance, documentation, lineage, and metadata management initiatives.
- Ensure data solutions follow company security, privacy, and compliance requirements.
Collaboration & Support
- Work with data analysts, BI developers, and business stakeholders to understand data requirements.
- Translate business and reporting requirements into technical data solutions.
- Troubleshoot production data issues and provide timely resolution.
- Document data pipelines, processes, technical specifications, and system dependencies.
- Participate in code reviews, testing, deployment, and continuous improvement activities.