Staff Engineer - Big Data

Experience: Not Available to Not Available years

Location: Bangalore, Karnataka, India

Skills: Java, Scala, Python, PySpark, Apache Spark, Kafka, Flink, Hadoop, HBase, SQL, NoSQL, REST APIs, gRPC, AWS, GCP, Azure

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:
Robust 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.

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