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 explicit 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




Positive 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 workplace 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

Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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