Database Engineer
Database Engineer
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Job Description
About Tekion:
Positively disrupting an industry that has not seen any innovation in over 50 years Tekion has challenged the paradigm with the first and fastest cloudnative automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cuttingedge technology big data machine learning and AI to seamlessly bring together OEMs retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3000 people across North America Asia and Europe.
At Tekion were building the only cloudnative platform that is transforming the automotive retail industry leapfrogging it into the future and providing unparalleled customer experience. Were creating seamlessly integrated elegant and intuitive solutions built with cutting edge technology and powered by Big Data Machine Learning (ML)/ AI and Internet of Things (Connected vehicle to connected devices). Were harnessing passion entrepreneurial spirit deep industry expertise and the latest technologies to create something very special. Were inventing new technology along the way to overcome barriers and solve big problems all while having a blast doing it!
Key Responsibilities:
- Automation Development:
- Design and Implement Automated Database Processes: Develop automation solutions for critical database operations including maintenance backups migrations and data recovery using Python. This helps to reduce manual workload and improve operational efficiency.
- Scripting & Monitoring:
- Python Scripting for Monitoring and Alerts: Write Python scripts to monitor database health detect errors and trigger alerts to ensure databases remain available and perform optimally. This includes setting up error detection logging and response mechanisms to prevent downtime.
- Cloud and DevOps Tools Integration:
- Automation with Cloud and DevOps Tools: Leverage cloud technology and DevOps tools like Jenkins and Chef to automate Database Engineer resource management tasks. This might include provisioning databases scheduling backups and deploying updates in a consistent and automated manner.
- Data Integration and ETL Management:
- ETL Pipeline Development: Design and maintain ETL (Extract Transform Load) pipelines that transfer data between various systems ensuring data is accurately moved transformed and loaded as per business requirements.
- Optimization and Maintenance:
- Performance Tuning: Continuously improve the performance of automation scripts and SQL queries to optimize processing speed efficiency and resource usage. Regularly analyze and refine automated processes to support smooth database operations.
- Collaboration and Teamwork:
- Collaborate with DBAs and Development Teams: Work closely with Database Administrators (DBAs) and development teams to ensure automation aligns with business objectives and operational needs supporting an integrated approach to database management.
- Compliance and Security:
- Data Protection and Compliance Implementation: Design automation solutions that meet compliance standards securing data in line with company policies and industry regulations. This includes implementing safeguards for data handling and ensuring processes are auditready.
- Experience:
- 37 Years in Database Engineering or Automation: At least two years of experience working in database engineering automation or Python scripting with a focus on improving database operations through automation.
- Proficiency in Python:
- Python for Automation and Integration: Demonstrated expertise in Python particularly for automating database tasks and managing data integrations across systems.
- Database Administration:
- HandsOn with Relational or NoSQL Databases: Practical experience with at least one database system such as MySQL PostgreSQL MongoDB or similar including familiarity with basic administration tasks.
- Cloud Platform Familiarity:
- AWS Azure or GCP Experience: Foundational knowledge of cloud platforms and experience using database services (such as RDS DynamoDB) to deploy manage and scale databases in a cloud environment.
- Version Control and CI/CD:
- Git and CI/CD Pipeline Experience: Competency in using version control systems like Git as well as experience setting up or working with CI/CD pipelines to ensure smooth automated deployments and code consistency.
Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race religion color national origin gender (including pregnancy childbirth or related medical conditions) sexual orientation gender identity gender expression age status as a protected veteran status as an individual with a disability victim of violence or having a family member who is a victim of violence the intersectionality of two or more protected categories or other applicable legally protected characteristics.
For more information on our privacy practices please refer to our Applicant Privacy Notice here.
Employment Type
Full Time
