Design and development of low-latency, highly-performance data analytics applications
Collaborate with peer engineers and architects on various technical projects to maintain and enhance data analytics solutions
Participate in code and design review of different application modules
Write and run comprehensive integration tests to deliver high-quality products
Capacity planning and specification of resource requirements for different deployment scenarios
Trouble-shoot and provide fix for any production bug in timely manner
Assist documentation team in providing good customer documentation, support and deployment guides
What Makes You A Great Fit:
Hands on programming experience in Java/Scala must
Hands-on experience of building and optimizing high-volume, structured and unstructured data processing pipeline
Hands-on experience with spark streaming, Data Frames and SQL API must
Expertise in performance tuning and resource optimization techniques of spark - Broadcasting, Salting, Bucketing, Partitioning, Caching, Checkpointing
Practical knowledge of object-oriented programming concepts, data structures and algorithms
Well familiar with data-warehousing concepts, data modelling, metadata management, data lineage etc is desirable
Experience with NOSQL and Big Data technologies - HDFS, s3, Spark, Spark Streaming, Kafka, Hive, Cassandra, etc is preferred
Well familiar with distributed systems, scalable architecture and parallel computing
Exposure to relational database like Oracle & MySQL is must
Perks and Benefits
Health care benefits Option to 'work from home'
Bigshyft Hiring for Mobileum Mobileum is a leading provider of analytics solutions for the Telecom industry. More than 750 communications providers rely on Mobileum Active Intelligence platform to increase roaming revenues, improve network security, minimize fraud and risk, and optimize business operations. With a strong record of innovation, Mobileum is recognized for its ability to extract deep network and customer insights and to convert them into real-time actions that increase revenue, improve customer experience and reduce costs.
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