Big Data Engineer
2 weeks ago
Required technical skills:
PySpark, Hive, HDFS, Sqoop, Shell scripting, Kafka, SQL, UNIX, Linux,AWS S3, TWS, Airflow, Bit - Monitor EOD jobs, Kafka notifications and application status
- Rerun any failure jobs (TWS/Airflow/Jobserver)
- Alert respective stakeholders about delay or issues
- Conduct RCA for incidents received for failures or from users
- Liaise with L3, SME and TDAP BAU TL to ensure resolution of production incident
- Deploy BAU requests
- Management/ coordination of production defects, including cases where program changes are required
- Respond/work on BAU queries
- Coordinate with ADA Central team with new changes and responsible for all production implementations
- Maintain system operations manuals & related documents
- Support other BAU activities E.g.: minor enhancements, SIT, UAT and regression test where there is no change in application
- Monitor system performance and escalate when necessary
- Keeps track of problem tickets/reports
- Upstream and downstream coordination when necessary
- Responsible to automate all manual monitoring if necessary
- Responsible for CI/RA
- KT to new resource onboard (Support)
- BAU support confluence page update on the issues/related to BAU issues
- Support User and DEV team adhoc service requests
- Work on Data movement requests for lower environment's (PROD to UAT,PROD to QA) or QA to PROD
- Historical load to correct the data related issues
- Work with DEV team daily during migration of different applications until successfully completed.
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