Diverse Lynx
Big Data Engineer Hadoop
Diverse Lynx, Fort Lauderdale, Florida, us, 33336
Role name:
Developer
Role Description:
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.
Competencies:
Digital : BigData and Hadoop Ecosystems, Digital : BigData and Hadoop Ecosystem - MapR
Experience (Years):
6-8
Essential Skills:
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.
Desirable Skills:
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.
Country:
United States Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.
Developer
Role Description:
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.
Competencies:
Digital : BigData and Hadoop Ecosystems, Digital : BigData and Hadoop Ecosystem - MapR
Experience (Years):
6-8
Essential Skills:
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.
Desirable Skills:
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.
Country:
United States Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.