Platform Engineer - Fluence

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.