Hive & Spark Architecture including Spark Core, Spark SQL, Data Frames.
Experience Required
6-8 Years
Roles & 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, Dataprocc
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.
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Information Technology
Industries
Information Technology & Services
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