Tivoli Workload Scheduler

Technical/Functional Skills

ETL jobs monitoring and scheduling using Tivoli workload schedular, IWS, HWA Job scheduling.

Good-to-Have -

Experience working on cloud platform (Google/Amazon/IBM), Azure Administrator associate-Microsoft certified AZ-103, SM37, Jobs creation & schedule, HealthCare domain knowledge, Knowledge and implementation of Lambda/Kappa architecture, knowledge on Microservices, Docker, Kubernetes, etc.

good to have Tivoli workload schedular, IWS, HWA Job scheduling experience.

Experience Required

• Hands-on experience in Tivoli workload schedular, IWS, HWA Job scheduling.

• Experience with shell scripting (Unix AIX 5.2,5.3 and 6.1)

• Working experience on multiple Hadoop/Spark based projects which have been deployed on Production.

• Experience on performance tuning of Hive and Spark jobs

• Basic experience in data modelling for Hive and NoSQL (partitioning, bucketing, row key design, etc.)

• Experience in debugging/troubleshooting Hadoop and Spark jobs

• Maven build

• Deployment of Hadoop/Spark jobs on production

Good to have:

• Experience with migration of data from data warehouse to Hadoop based Data Lake

• Knowledge of Data warehousing concepts such as Facts, Dimensions, SCD, Star schema, etc.

• Experience or at least good conceptual knowledge of Docker, Kubernetes, Microservices.

• Experience in working on a Hadoop/Spark cluster on a Cloud platform (Google/Amazon/IBM cloud)

Roles & Responsibilities

Data Lake implementation, off-boarding of data from existing Datawarehouse (Teradata) to Data Lake and migrating the existing ETL jobs using Hadoop/Spark to populate the data into Data Lake instead of existing Datawarehouse.

Generic Managerial Skills

• Work in Onsite-Offshore Model

• Oral and written communication skills

• Interpersonal and consultative skills

• Facilitation skills

• Analytical thinking and problem solving

• Being detail-oriented and capable of delivering a high level of accuracy

• Organizational skills

• Knowledge of business structure

• Stakeholder analysis

• Requirements engineering