Description
We are looking for a talented and driven Platform Engineer to join our dynamic team, focusing on building and maintaining our data platform. Reporting to the Manager of Platform Engineering, you will play a key role in designing, developing, and optimizing the infrastructure and tools that power our data-driven products and services. This position offers the opportunity to work on challenging projects, collaborate with cross-functional teams, and contribute to the success of our data initiatives.
Responsibilities:
1. **Data Engineering:**
- Develop, test, and maintain processes to integrate and manage data from various sources.
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality and integrity.
- Implement data governance best practices, including data lineage, metadata management, and versioning.
2. **Platform Development and Maintenance:**
- Design, implement, and maintain scalable and reliable data platforms and systems.
- Collaborate with the development team to build and deploy new features, ensuring they meet performance and reliability standards.
- Monitor and optimize the performance, security, and availability of data platforms, addressing issues proactively.
3. **Automation and Tooling:**
- Create and maintain automation scripts and tools to streamline data processing and platform management tasks.
- Implement continuous integration and continuous delivery (CI/CD) pipelines to ensure smooth and efficient deployments.
- Contribute to the development of internal tools and frameworks that enhance productivity and standardize operations.
4. **Continuous Improvement:**
- Stay current with industry trends, emerging technologies, and best practices in data engineering and platform management.
- Identify opportunities to improve existing systems, processes, and tools, driving continuous improvement initiatives.
- Contribute to the documentation of systems, processes, and best practices to ensure knowledge sharing across the team.
**Requirements:**
- Bachelor’s degree in Computer Science, Engineering, or a related field.
- Proven experience as a platform engineer, data engineer, or similar role, with a strong focus on data infrastructure and automation.
- Proficiency in programming languages such as Python, with experience in scripting and automation.
- Hands-on experience with data technologies and cloud platforms (e.g., AWS, EdgeX, TimescaleDB).
- Strong understanding of data pipelines and data governance principles.
- Familiarity with CI/CD pipelines and version control systems (e.g., Git).
- Excellent problem-solving skills, with the ability to troubleshoot complex technical issues.
- Strong communication and collaboration skills, with a focus on teamwork and knowledge sharing.
**Preferred Qualifications:**
- Experience with containerization technologies (e.g., Docker, Kubernetes).
- Knowledge of big data technologies (e.g., Hadoop, Spark) and their integration into data platforms.
At Fluence we are dedicated to building a diverse, inclusive, and authentic workplace; if you are excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply!
Unlimited PTO, Dental, Vision, Life and Pet Insurance, Generous 401K Match,Annual Bonus Incentive
#energy #sustainability #inclusionmatters
Follow Fluence on LinkedIn: Fluence LinkedIn
Fluence Career Page: Fluence Careers
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