Data Engineer - Operating Data Automation

About Fluence: Fluence Energy, Inc. (Nasdaq: FLNC) is a global market leader in energy storage products and services, and optimization software for renewables and storage. With a presence in over 47 markets globally, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable energy storage products, comprehensive service offerings, and the Fluence IQ Platform, which delivers AI-enabled SaaS products for managing and optimizing renewables and storage from any provider. Fluence is transforming the way we power our world by helping customers create more resilient and sustainable electric grids.

For more information, visit our website, or follow us on LinkedIn or Twitter. To stay up to date on the latest industry insights, sign up for Fluence's Full Potential Blog.

 

We are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed.

Fluence currently has thousands of MW of energy storage projects operated or awarded worldwide in addition to the thousands of MW of projects managed by our trading platform—and we are growing every day.

Fluence is defined by its unwavering commitment to safety, quality, and integrity.

We achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams.

We value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all. 

 

Fluence is seeking engineers for a high-value project to automate the time-series operating data collected from utility-scale battery energy storage systems. The ideal candidate would:

·        Be responsible for designing, maintaining, and optimizing data infrastructure for data collection, management, transformation, and access.

·        Oversee creating pipelines that convert raw data into usable formats for data scientists and other data consumers to utilize.

·        Document processes and procedures considering the ITIL/ITSM Framework

·        Find and fill gaps in current Data Management processes.

·        Verification that data was published successfully.

·        Regularly delete data following successful migration, with regular migrations until the next generation of operating system is fully deployed.

·        Execute post-migration and data retention strategies.

 

·        Bachelor's degree from an accredited university or college

·        5+ Years of Relevant Experience.

·        Python, Juptyer Notebooks

·        RDBMS (MySQL/MariaDB/Postgres)

·        Apache Parquet, Pandas, PyArrow, PySpark

·        Linux

·        AWS S3, AWS Glue, AWS SageMaker, AWS EMR

·        Agile / Atlassian Jira

·        ITIL (Information Technology Infrastructure Library) framework understanding

·        Salesforce Asset Integration

·        Proficient in Microsoft Office