Staff Engineer - Big Data
Bloom EnergyLocation not specified
Full Time
Posted August 28, 2026
$114k - $174k· Est.
This role may have expired
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Listing evidence and provenance
- Source
- workday View original listing
- Freshness
- Open in the current public read path; this is not an employer guarantee.Last observed September 10, 2026
- Classification
- Modern power-system classification not yet published for this listing.Legacy source industry field: Energy Management
- Pay provenance
- Estimated benchmark; not employer-provided
Job Description
Location: This position will be based in Bangalore/Mumbai, India
Key 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
Requirements
- 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
- MTech/M.S with emphasis in computational or decision sciences preferred
- 3+ years of relevant experience
Ready to Apply?
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