Staff Engineer - Big Data

Reposted 6 Days Ago
Be an Early Applicant
2 Locations
In-Office
Mid level
Energy
The Role
Design, develop, and maintain scalable data pipelines (PySpark/Apache Spark); process large-scale structured and unstructured data; build real-time analytics for cloud and edge devices; performance-tune and debug Spark jobs; collaborate with data scientists, data engineers, and firmware teams; apply distributed computing and data warehousing/lake concepts.
Summary Generated by Built In

Location: This position will be based in Bangalore/Mumbai, India

Role and Responsibilities:

  • Design, develop, and maintain scalable data pipelines using PySpark and Apache Spark.
  • Process and analyze large-scale structured and unstructured datasets in distributed environments.
  • Responsible for building real-time analytics on cloud and edge devices
  • 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
  • Experience in performance tuning and debugging Spark jobs
  • Good understanding of distributed computing principles
  • 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:

  • MTech/M.S with emphasis in computational or decision sciences preferred
  • 3+ years of relevant experience

Skills Required

  • 3+ years of relevant experience
  • Strong Java or Scala programming and debugging ability with clear design patterns understanding
  • Python (bonus)
  • Hands-on experience with Kafka, Spark, Flink, Hadoop, HBase (one or more)
  • Implementing data wrangling, transformation and processing solutions for large datasets
  • Experience in performance tuning and debugging Spark jobs
  • Good understanding of distributed computing principles
  • Knowhow of cloud platforms (AWS, GCP, Azure)
  • Exposure to data lakes and data warehousing concepts, SQL and NoSQL databases
  • Experience working with REST APIs and gRPC
  • MTech/M.S with emphasis in computational or decision sciences
  • Ability to adapt to new technology and a continuous learning mindset

Bloom Energy Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Bloom Energy and has not been reviewed or approved by Bloom Energy.

  • Healthcare Strength Current job postings describe comprehensive medical, dental, and vision coverage with a large employer contribution, plus mental‑health support, fertility/family‑forming benefits, virtual physical therapy, and legal services. Company materials link to Collective Health and Kaiser, indicating established plan options.
  • Equity Value & Accessibility An Employee Stock Purchase Plan and equity awards are offered, providing accessible ownership opportunities that can enhance total compensation.
  • Retirement Support Recent postings and filings indicate a 401(k) with company match has been added, marking a clear improvement over earlier periods without matching.

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The Company
HQ: San Jose, CA
1,716 Employees
Year Founded: 2001

What We Do

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.

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