Senior Data Engineer
2 days ago
Description :
About The Role :
Were looking for a seasoned Data Engineer to join our Engineering organization and take ownership of the systems that power our data-driven decisions.
Youll architect and maintain high-performance data pipelines and databases across platforms like MSSQL, Redshift, and Snowflake - ensuring data is reliable, accessible, and optimized for scale.
If you thrive on solving complex problems, love optimizing systems for performance, and want to be the go-to expert in a collaborative, high-impact environment, wed love to meet you.
What You Will Do :
- Design and maintain scalable, efficient, and well-partitioned schemas in MSSQL, Redshift, and Snowflake.
- Architect and optimize complex queries, stored procedures, indexing strategies, and partitioning for large datasets.
- Build, monitor, and maintain data pipelines that ensure timely and accurate delivery of data to internal and external consumers.
- Own and enforce data refresh SLAs, ensuring availability, consistency, and reliability across production and reporting environments.
- Collaborate with software engineers, analysts, and DevOps teams to ensure data models and queries align with product and reporting requirements.
- Proactively identify and remediate performance bottlenecks, slow queries, and data inconsistencies.
- Implement and manage database change workflows using schema migration and versioning tools.
- Define and promote best practices for data access, security, compliance, and observability.
What You Will Bring :
- 8+ years of experience in database engineering or backend systems development.
- At least 4 years of experience with MySQL, Amazon Redshift, and Snowflake, including schema design and performance optimization.
- Experience designing, building, and maintaining scalable data pipelines and ETL processes tailored to client needs.
- Proven track record maintaining data freshness SLAs and data quality across production pipelines.
- Hands-on experience with T-SQL, LinkSQL, query optimization, and indexing strategies.
- Experience with query optimization, mapping tables to blocks and partitions, sub-table structure, and keying/indexing for efficiency.
- Experience in relational data modeling and schema versioning in support of software development.
- Experience as the sole or lead database expert on a development team.
- Familiarity with source control systems (e.g., Git/Bitbucket) and CI/CD integration.
- Strong problem-solving skills.
- Ability to translate product requirements into workable solutions, collaborating with development and testing teams.
- Writing robust functions, procedures, and scripts using SQL.
- Experience handling day-to-day support and performance issues.
- Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
- Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
- Utilize a proactive approach to foresee potential problems and address them before they impact operations.
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