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Databases Engineer

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Google

Today

  • Job
    Full-time
    Mid Level
  • Data
    IT & Cybersecurity
  • Germany, +15
    Remote

AI generated summary

  • You need a degree in a related field, 4 years of DBMS experience, coding skills in Java/Python, GCP familiarity, and strong knowledge of database design, migrations, and encryption techniques.
  • You will translate requirements into database solutions, lead data migrations to GCP, ensure data quality, troubleshoot storage performance, and manage project goals with stakeholders.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience.
  • 4 years of experience in developing, troubleshooting applications with popularly used DBMS such as MySQL, PostgreSQL, Oracle, and NoSQL databases like MongoDB.
  • Experience coding in Java, Python etc, and experience in writing queries using SQL and PL/SQL.
  • Experience of homogeneous and heterogeneous database migrations of enterprise scale.
  • Experience in GCP.
  • Experience in designing and performing large scale data migrations using various tools and services.
  • Experience in Google Cloud Native Databases like Cloud Spanner, Cloud BigTable and AlloyDB.
  • Experience troubleshooting and resolving database-related issues.
  • Experience with encryption techniques like symmetric, asymmetric, HSMs, and envelop, and ability to implement secure key storage using Key Management System.
  • Proficiency in database design principles, data modeling, and the ability to translate business requirements into efficient database structures.
  • Understanding of data security measures and encryption techniques.

Responsibilities

  • Interact with stakeholders to translate business and technical requirements into recommendations for scalable and cost-effective database solutions and advisory services.
  • Engage with technical leads and partners to lead high velocity data migration and modernization to GCP using Google or third-party tools and services.
  • Develop and implement data quality and governance procedures to ensure the accuracy and reliability of data.
  • Work with customer or partner teams to troubleshoot their storage systems for potential performance challenges.
  • Take various project requirements and organize them into clear goals and objectives, and create a work breakdown structure to manage internal and external stakeholders.

FAQs

What is the minimum educational qualification required for this position?

A Bachelor's degree in Computer Science, Engineering, Mathematics, a related field, or equivalent practical experience is required.

How many years of experience do I need to apply for this job?

A minimum of 4 years of experience in developing and troubleshooting applications with popular DBMS systems is required.

Which database management systems should I be familiar with?

Familiarity with MySQL, PostgreSQL, Oracle, and NoSQL databases like MongoDB is essential.

Is experience with Google Cloud Platform necessary?

Yes, experience in GCP is required for this position.

What programming languages should I know?

Proficiency in coding with Java and Python, as well as experience in writing queries using SQL and PL/SQL, is expected.

Will I be involved in data migration projects?

Yes, you will work on data migrations and modernization projects on the Google Cloud Platform.

Are there any preferred qualifications for this job?

Preferred qualifications include experience in large-scale data migrations, Google Cloud Native Databases, and database security measures like encryption techniques.

What kind of tasks will I perform in this role?

You will design, develop, deploy, and manage highly scalable databases, participate in data migrations, troubleshoot storage systems, and engage with stakeholders.

Is travel required for this position?

Yes, you will travel to customer sites to deploy solutions and deliver workshops.

Does Google have an equal opportunity policy?

Yes, Google is committed to equal employment opportunity regardless of various factors, including race, gender, and disability status.

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Google

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1998
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