This position is 100% Remote.

Must Have:

• Bachelor’s/Master’s in Computer science or related.
• Strong Java/Scala experience.
• 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.)

• 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.