Senior/Lead Database Engineer

We are looking for a Senior/Lead Database Engineer to join our international team. In this role, you will be responsible for designing, testing, protecting, operating, and maintaining client databases.

Work at Exadel - Who We Are

Since 1998, Exadel has been engineering its products and custom software for clients of all sizes. Headquartered in Walnut Creek, California, Exadel has 2,000+ employees in development centers across America, Europe, and Asia. Our people drive Exadel’s success and are at the core of our values.

Requirements

• 6+ years of experience with relational databases such as Microsoft SQL Server, PostgreSQL, or similar
• Expert-level database skills and in-depth understanding of SQL code development (stored procedures, user functions, triggers, etc.)
• Familiarity with git and GitLab (or similar VCS)
• Proficiency in developing scripts to automate frequent tasks using any of the scripting languages like shell scripts and/or Python
• Exhibit strong problem-solving, communications, and collaboration skills, ability to work well with a small distributed team

Nice to have

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• Proficiency in DevOps automation tools (GitLab, Jenkins)
• Familiarity with Power BI reporting and Azure Analytics Services, DWH, etc.
• Knowledge of database maintenance features like partitioning, purging, and scheduling database maintenance jobs

English level

Upper-Intermediate

Responsibilities

• Daily support of Exadel’s Internal System Development department database storages (MS SQL Server and PostgreSQL), including security, infrastructure,  monitoring, and management of data structures and code across multiple Exadel internal systems and integration interfaces
• Help multiple teams with requests for designing database schemas and related SQL code (developing SQL code, merging PRs, code review, supervision)
• Analyze data-related requirements from internal systems development teams, project managers, and architects, estimate and implement them
• Developing workflow of the DBE team is organized by Kanban methodology
• Design and support documentation of conceptual and logical data models, data lineage, etc., using Data Governance tooling (Dataedo)
• Improve and monitor database performance by analyzing logs and using application monitoring tools
• Define and maintain data obfuscation rules