SW Engineer (Data)

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.

Desired Skills & Experience -

Healthcare Experience isnt a requirement but very high on the Clients nice to have. Those candidates will take priority.

Key Skills

Apache Hive,S3,Hadoop,Redshift,Spark,AWS,Apache Pig,NoSQL,Big Data,Data Warehouse,Kafka,Scala

Employment Type : Full-time

Experience : years

Vacancy : 1