Big Data Engineer

2 weeks ago


Hyderabad, Telangana, India Programming.com Full time

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.

(ref:hirist.tech)

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