
Data Professional
4 days ago
Job Overview:
">We are seeking a seasoned data professional to join our organization and take ownership of the systems that power our business decisions.
">The ideal candidate will have expertise in designing, building, and maintaining scalable data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake.
">Key Responsibilities:
">- ">
- Data Architecture: Design and maintain scalable, efficient, and well-partitioned schemas in MSSQL, Redshift, and Snowflake.">
- Query Optimization: Architect and optimize complex queries, stored procedures, indexing strategies, and partitioning for large datasets.">
- Data Pipeline Management: Build, monitor, and maintain data pipelines that ensure timely and accurate delivery of data to internal and external consumers.">
- Service Level Agreement (SLA) Ownership: Own and enforce data refresh SLAs, ensuring availability, consistency, and reliability across production and reporting environments.">
- Collaboration: Collaborate with software engineers, analysts, and DevOps teams to ensure data models and queries align with product and reporting requirements.">
- Performance Tuning: Proactively identify and remediate performance bottlenecks, slow queries, and data inconsistencies.">
- Database Change Management: Implement and manage database change workflows using schema migration/versioning tools.">
- Best Practices: Define and promote best practices for data access, security, compliance, and observability.">
About the Role:
">This is an exciting opportunity for a skilled data engineer to drive business growth through data-driven decision making.
">What We Offer:
">- ">
- A collaborative and dynamic work environment.">
- Ongoing training and development opportunities.">
- A competitive salary and benefits package.">
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