BigDataWork Location: Phoenix, AzRelevant Experience (in yrs): 6-8 YearsTechnical/Functional Skills: Hive & Spark Architecture including Spark Core, Spark SQL, Data Frames.Experience Required: 6-8 YearsRoles & Responsibilities: Build data systems and pipelines on cloud providers (GCP preferable); Experience working in GCP based Big Data deployments (Batch/Real-Time) leveraging Big Query, Big Table, Google Cloud Storage, PubSub, Data Fusion, Dataflow, Dataproc. In-depth understanding of Hive & Spark Architecture including Spark Core, Spark SQL, Data Frames. Good knowledge of Hadoop Architecture, Strong knowledge in NOSQL column-oriented databases like HBase, Cassandra, MongoDB.
Good knowledge of architecting graph databases and techniques is a must. Knowledge of Java frameworks like Spring Boot and Spring framework. Broader responsibilities include but not limited to analysis, design, development and testing as needed to enhance the product.
Should be a self-starter, Team Player, Collaborative and should be thorough focusing on the quality of the deliverable and time to market.