Database Engineer
About The Position
Contribute to the development of scalable systems on platforms like Apache Hadoop, Google Cloud Platform (GCP), and SAP HANA. Participate in technical discussions and assist in code reviews to ensure quality and adherence to standards. Learn and apply engineering best practices under the guidance of senior team members. Write maintainable and efficient code to support secure and highly available systems. Assist in defining, developing, integrating, testing, documenting, and supporting technical solutions. Support the development of high-performance data pipelines capable of handling large-scale workloads. Collaborate with the data team to analyze datasets, contribute to model building, and assist in creating reports and visualizations using Google Cloud tools. Gain hands-on experience deploying large-scale data solutions within an enterprise environment. Follow established project management frameworks and adhere to development processes under the supervision of senior engineers. Support the design, development, troubleshooting, and debugging of software programs for databases, applications, tools, and networks.
Requirements
- Minimum of 2 years of relevant work experience
- Bachelor's degree or equivalent experience
- Experience with enterprise-grade database technologies and large-scale data platforms
- Experience designing mission-critical data infrastructure at petabyte scale
- Experience with GCP cloud-native DBs like BigTable and Spanner, Cloud networking, and architecture
- Experience with managing Oracle databases
- Proficiency in automation and scripting languages (Python, Bash)
Nice To Haves
- Demonstrated leadership in cross-functional collaboration and high-impact delivery
- Experience with generative AI tools for database optimization preferred
Responsibilities
- Contribute to the development of scalable systems on platforms like Apache Hadoop, Google Cloud Platform (GCP), and SAP HANA.
- Participate in technical discussions and assist in code reviews to ensure quality and adherence to standards.
- Learn and apply engineering best practices under the guidance of senior team members.
- Write maintainable and efficient code to support secure and highly available systems.
- Assist in defining, developing, integrating, testing, documenting, and supporting technical solutions.
- Support the development of high-performance data pipelines capable of handling large-scale workloads.
- Collaborate with the data team to analyze datasets, contribute to model building, and assist in creating reports and visualizations using Google Cloud tools.
- Gain hands-on experience deploying large-scale data solutions within an enterprise environment.
- Follow established project management frameworks and adhere to development processes under the supervision of senior engineers.
- Support the design, development, troubleshooting, and debugging of software programs for databases, applications, tools, and networks.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Number of Employees
5,001-10,000 employees
