Diverse Lynx
Job Requirements
- • 5+ years in Python/PySpark • 5+ years optimizing Python/PySpark jobs in a hadoop ecosystem • 5+ years' working with large data sets and pipelines using tools and libraries of Hadoop ecosystem such as Spark, HDFS, YARN, Hive and Oozie. • 5+ years with designing and developing cloud applications: AWS, OCI or similar. • 5+ years in distributed/cluster computing concepts. • 5+ years with relational databases: MS SQL Server or similar • 3+ years with NoSQL databases: HBASE (preferred) • 3+ years in creating and consuming RESTful Web Services • 5+ years' in developing multi-threaded applications; Concurrency, Parallelism, Locking Strategies and Merging Datasets. • 5+ years' in Memory Management, Garbage Collection & Performance Tuning. • Strong knowledge of shell scripting and file systems. • Preferred: • Knowledge of CI tools like Git, Maven, SBT, Jenkins, and Artifactory/Nexus • Knowledge of building microservices and thorough understanding of service-oriented architecture • Knowledge in container orchestration platforms and related technologies such as Docker, Kubernetes, OpenShift. • Understanding of prevalent Software Development Lifecycle Methodologies with specific exposure or participation in Agile/Scrum techniques • Strong knowledge and application of SAFe agile practices, preferred. • Flexible work schedule. • Experience with project management tools like JIRA. • Strong analytical skills • Excellent verbal, listening and written communication skills • Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times. • Ability to work well independently or in a team environment.
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.
- • 5+ years in Python/PySpark • 5+ years optimizing Python/PySpark jobs in a hadoop ecosystem • 5+ years' working with large data sets and pipelines using tools and libraries of Hadoop ecosystem such as Spark, HDFS, YARN, Hive and Oozie. • 5+ years with designing and developing cloud applications: AWS, OCI or similar. • 5+ years in distributed/cluster computing concepts. • 5+ years with relational databases: MS SQL Server or similar • 3+ years with NoSQL databases: HBASE (preferred) • 3+ years in creating and consuming RESTful Web Services • 5+ years' in developing multi-threaded applications; Concurrency, Parallelism, Locking Strategies and Merging Datasets. • 5+ years' in Memory Management, Garbage Collection & Performance Tuning. • Strong knowledge of shell scripting and file systems. • Preferred: • Knowledge of CI tools like Git, Maven, SBT, Jenkins, and Artifactory/Nexus • Knowledge of building microservices and thorough understanding of service-oriented architecture • Knowledge in container orchestration platforms and related technologies such as Docker, Kubernetes, OpenShift. • Understanding of prevalent Software Development Lifecycle Methodologies with specific exposure or participation in Agile/Scrum techniques • Strong knowledge and application of SAFe agile practices, preferred. • Flexible work schedule. • Experience with project management tools like JIRA. • Strong analytical skills • Excellent verbal, listening and written communication skills • Ability to multitask and prioritize projects to meet scheduled deadlines and tight turnaround times. • Ability to work well independently or in a team environment.
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.