Database Engineer

1 Month ago • 3 Years + • Administrative • $126,000 PA - $181,000 PA

Job Summary

Job Description

Raxium seeks a Database Engineer to design, implement, and maintain relational database systems. Responsibilities include database architecture (tables, views), developing business logic using SQL, creating reports and dashboards using Power BI, adhering to software development standards, and collaborating with cross-functional teams. The role requires strong SQL skills, experience with RDBMS, and the ability to manage multiple projects. On-call support is required. The successful candidate will design database solutions and develop application business logic using SQL queries.
Must have:
  • Bachelor's degree in CS/related field
  • 3+ years database design, installation, management
  • 3+ years SQL, shell scripting, Python experience
  • 3+ years report/dashboard development
  • RDBMS table design & SQL query writing expertise
Good to have:
  • Vertica database experience
  • Semiconductor manufacturing experience
  • Power BI experience
Perks:
  • Bonus
  • Equity
  • Benefits

Job Details

Minimum qualifications:

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience.
  • 3 years of experience in designing, installation, and managing database products.
  • 3 years of experience in developing application business logic using SQL, shell scripts and Python.
  • 3 years of experience in developing reports and dashboards.
  • Experience in Relational Database Management System (RDBMS) table design and writing SQL queries.
  • Ability to work standard hours, including on-call support as required.

Preferred qualifications:

  • Experience in working with Vertica databases.
  • Experience working in the semiconductor manufacturing facility.
  • Experience developing reports and dashboards using Power BI.

About the job

Database Administrators embrace Google's motto to ensure millions of users can access the world's information without a glitch. As a Database Engineer at Google, you design, implement and maintain our relational database systems for performance and reliability. You're responsible for tuning and configuring our databases as well as building tools and scripts to monitor, troubleshoot and automate our systems. You propose test plans and interface with external groups, developers and application owners to arrive at optimal solutions. Other areas of responsibility include designing and enhancing disaster recovery and backup systems. As you are writing automation for hundreds of machines, pages are serving up in real time, which means that the user has a seamless browsing experience.

With your technical expertise, you design, implement and improve processes, procedures and automation for all database-centric areas. You also test the systems in place and interface with external groups.

As a Database engineer, you will be responsible for designing database solutions and developing application business logic using SQL queries.

The US base salary range for this full-time position is $126,000-$181,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .

Responsibilities

  • Architect databases (tables, views, etc.) and developing business logic using SQL statements.
  • Develop reports and dashboards for the Operations and Engineering teams using Power BI.
  • Adhere to software development standards and implementation of best practices in documenting user requirements, designing, coding, and testing software solutions.
  • Collaborate with cross-functional teams, including Leadership, Engineers, Program Managers, and Data scientists, to thoroughly understand business and application needs.
  • Able to manage multiple concurrent projects and work with minimal supervision.

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