Bloom Energy empowers businesses and communities to responsibly take charge of their energy. The company’s leading solid-oxide platform for distributed generation of electricity and hydrogen is changing the future of energy. Fortune 100 companies around the world turn to Bloom Energy as a trusted partner to deliver lower carbon energy today and a net-zero future. For more information, visit www.bloomenergy.com. The Bloom Energy Server is a distributed electric power solution built for the digital age and capable of delivering highly reliable, uninterrupted, 24x7 constant power that is also clean and sustainable. Bloom’s unique on-site power generation systems are among the most efficient on the planet, providing significantly reduced operating costs and producing dramatically lower greenhouse gas emissions. By generating power where it is consumed, Bloom Energy offers increased electrical reliability and improved energy security, providing a clear path to energy independence. Some of the largest companies in the world trust Bloom Energy to provide their businesses with clean, reliable and resilient energy. Bloom’s customers include many Fortune 100 companies and leaders in manufacturing, data centers, healthcare, retail, higher education, utilities, and other industries. The company, headquartered in San Jose, California, is growing quickly and looking to add to its dynamic team. Stay up to date with Bloom Energy through our social channels. Follow us on Twitter: https://twitter.com/Bloom_Energy Subscribe to our YouTube channel: http://www.youtube.com/bloomenergy Like us on Facebook: https://www.facebook.com/bloomenergy Follow us on Instagram: @bloomenergy

Job description

Role and Responsibilities:

Assist in developing distributed learning algorithms
Responsible for building real-time analytics on cloud and edge devices
Responsible for developing scalable data pipelines and analytics tools
Solve challenging data and architectural problems using cutting edge technology
Cross functional collaboration with data scientists / data engineering / firmware controls teams

Skills and Experience:

Strong Java/ Scala programming/debugging ability and clear design patterns understanding, Python is a bonus
Understanding of Kafka/ Spark / Flink / Hadoop / HBase etc. internals (Hands on experience in one or more preferred)
Implementing data wrangling, transformation and processing solutions, demonstrated experience of working with large datasets
Knowhow of cloud computing platforms like AWS/GCP/Azure beneficial
Exposure to data lakes and data warehousing concepts, SQL, NoSQL databases
Working on REST API’s, gRPC are good to have skills
Ability to adapt to new technology, concept, approaches, and environment faster
Problem-solving and analytical skills
Must have a learning attitude and improvement mindset

Qualifications: