Big Data Engineer

Location:
Phoenix, AZ/Irving, TX
Experience:
4 to 8 Years
Technology:
Big Data
Responsibilities:
  • Implement various solutions arising out of large data processing (GB’s/ PB’s) over various NoSQL, Hadoop and MPP based products—both on-premise and in the cloud
  • Actively participate in various architecture and design calls with big data customers
  • Develop Hive scripts and be involved in writing MapReduce jobs
  • Implement complex projects dealing with the considerable data size (GB/PB) and with high complexity
  • Leverage your experience with Hadoop and software engineering to help our clients drive value from their data
  • Work with Sr. Architects and providing implementation details to offshore
  • Conduct sessions/ writing whitepapers/ Case Studies pertaining to big data
  • Responsible for timely and quality deliveries.
  • Fulfill organization responsibilities – sharing knowledge and experience with other, passionate Impetus professionals, conducting various technical development sessions and training on new technologies.
Qualifications:

Must Have:

  • Bachelor’s/Master’s in Computer science or related
  • Very strong server-side Java experience, especially in an open source, data-intensive, distributed environments.
  • Strong previous professional experience building Distributed Solutions dealing with high volumes of data
  • Hands on experience on HDFS, Hive, Pig, Sqoop and NOSQL
  • Experience/ knowledge working with batch processing/ real-time systems using various open-source technologies like Solr, Spark, Storm, Kafka, etc.
  • Experience in Apache Spark and/or Spark Streaming (at least 6 months)
  • Good understanding of algorithms, data structure, performance optimization techniques and exposure to complete SDLC and PDLC
  • Well aware of architectural concepts (Multi-tenancy, SOA, SCA etc.) and NFR’s (performance, scalability, monitoring etc.)
Additional Information:

Temporarily Remote

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