Data Science
Solutions Architect
#DataScience #BigData #SolutionArchitecture #GoogleAnalytics
Roles and Responsibilities
  • Develop Big data solutions for Fortune-500 customers
  • Work on Big Data Ingestion, Pre-processing, Storage, Parsing, Analyzing and Visualization
  • Study large sets of data to turn information into business insights
  • Get End-to-end ownership of deliverables - POC to production
  • Work with senior executives of top brands and provide expert recommendations
  • Work with a team of exceptionally talented and dedicated Data Scientists and Engineers
  • BYOP - Bring your own process. We like new things.
Qualifications and Skills
  • Bachelors or Masters Degree in Computer Science/Information Technology/Statistics/Mathematics or relevant streams
  • 5-10 years
  • Proficiency in Big Data ecosystems like Azure, Amazon, Google Cloud
  • Experience with Analytics tools like Google Analytics, Firebase, Tableau, Power-BI, Microstrategy
  • Experience in distributed computing frameworks: Apache Hadoop 2.0 (YARN; Map Reduce & HDFS) and associated technologies -- one or more of Hive, Sqoop, Flume, Zookeeper, etc.
  • Experience with Kafka / Apache Spark (Streaming, SQL, MLLib)/ Apache Apex / Apache Storm
  • Experience with predictive & prescriptive statistical analysis
  • Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those
  • Experience working within a Linux computing environment and use of command-line tools
  • Experience and interest in Machine Learning is a plus