Role description
Job description
The Sustain Engineer is responsible for BAU operations and L2L3 sustain support of the Customer Customer Marketing Data Layer data platform including automated monitoring incident triage DQ checks ETLpipeline troubleshooting and knowledge management The engineer will operate against the target sustain state automated monitoring via AWS Lambda SP mailer ServiceNowdriven incident management ConfluenceKEDBbased knowledge management chaostested resilience and be part of a rotational 24x7 shift model with US EST overlap Prior experience in a Support Program Project Application Data or Platform Sustain is strongly preferred
Must Have
BAU monitoring of data pipelines and marts health checks batch job monitoring SLA tracking
Incident triage and resolution using ServiceNow P1P4 adherence to response and resolution SLAs
ETL Data pipeline troubleshooting SAP BODS Informatica IICS Airflow Snowflake tasks streams
SQLbased root cause analysis and data reconciliation across source and target
Execution and continual improvement of runbooks SOPs and KEDB articles
Support automated monitoring ing stack AWS Lambda SP mailer CloudWatch custom DQ s
Change management via ServiceNow implementation verification and rollback of scheduled changes
Problem Management RCA authoring permanent fix tracking postincident review contribution
Knowledge Management creation and upkeep of Confluence pages KEDB entries runbooks
Scripting for automation and selfhealing Python Shell PowerShell
Willingness to work in rotational 24x7 shifts with US EST overlap and oncall rotation
Clear communication with onshore business stakeholders during incidents and status reviews
Nice to Have
Prior experience in an Application Data Platform Support Program or Project
Exposure to Snowflake administration Airflow DAG debugging dbt tests
AWS Cloud fundamentals Lambda S3 CloudWatch IAM
Chaos engineering Chaos Monkey testing exposure
Data Quality frameworks Great Expectations Soda custom SQL DQ suites
Banking BFSI domain exposure especially Customer Marketing data
