Data Solutions Architect

INTERVIEW

• Knowledge of database concepts, object and data modeling techniques and design principles
• Detailed knowledge of database architectures, software, and facilities
• Successful history of manipulating, processing, and extracting value from large, disconnected data sets
• Experience with programming languages -
  Python (required), Scala, Ruby, R , Database technologies - SQL, performance tuning concepts, AWS RDS, RedShift, MySQL
• Experience with big data batch processing tools:
  Hadoop MapReduce, ElasticSearch, PIG, Hive, Cascading/Scalding, Apache Spark, AWS Glue, AWS EMR
• Experience with stream-processing systems:
  Kinesis, Kafka, MQTT
• Experience with relational
  NoSQL databases including DynamoDB
• Ability to write
  JSON, XML, YAML and other data definition schemas
• Experience working on advanced complex technical projects or business issues requiring state of the art technical knowledge or industry.
• Experience working on significant and unique issues where analysis of situations or data requires an evaluation of intangibles. Exercises independent judgment in methods, techniques and evaluation criteria for obtaining results.
• Ability to provide a leadership role for the work group through knowledge in area of specialization.
• Bachelor’s degree in computer science, computer engineering, or a related field, or the equivalent combination of education and related experience.
• 12 years of professional experience as a data software engineer
• 2 years of experience with
  AWS cloud or other cloud Big Data computing design, provisioning, and tuning.

• Solutions Architect, Data Analytics and Machine Learning AWS certification, preferred
• Previous experience as a Data Engineer / Database Admi