Role and Responsibilities:

Assist in developing distributed learning algorithmsResponsible for building real-time analytics on cloud and edge devicesResponsible for developing scalable data pipelines and analytics toolsSolve challenging data and architectural problems using cutting edge technologyCross 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 bonusUnderstanding 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 datasetsKnowhow of cloud computing platforms like AWS/GCP/Azure beneficialExposure to data lakes and data warehousing concepts, SQL, NoSQL databasesWorking on REST API’s, gRPC are good to have skillsAbility to adapt to new technology, concept, approaches, and environment fasterProblem-solving and analytical skillsMust have a learning attitude and improvement mindset

Qualifications:

MTech/M.S with emphasis in computational or decision sciences preferred3+ years of relevant experience