13 Aug
|
Shire
|
Bengaluru
The Chance
As a Data Engineer, you will support data operations and ETL workflows, ensuring robust data pipelines and reliable analytics environments. You will work closely with cross-functional teams to maintain data quality, troubleshoot issues, and enable data-driven decision-making across the organization.
Operational Leadership
- Own end-to-end health of Databricks, Informatica, and Airflow environments used for commercial data operations.
- Monitor daily pipeline performance and drive MTTA / MTTR improvements through automation and proactive analysis.
- Oversee incident response, RCA documentation, and recurring issue elimination.
- Maintain and evolve operational dashboards and SLA tracking metrics.
- Review and approve all production change requests and deployments.
- Maintain pipelines that meet business needs, adhere to Takeda standards, and incorporate best practices exploiting the benefits of cloud-nativity
- Lead technical solution reviews with stakeholders
- Directly support or coordinate with the help of DD&T; SMEs complex data challenges to find fit-for-purpose solutions
- Take full accountability of data products and help plan, mature, and support for ongoing operation of KPIs for quality and availability
- Work with DevOps teams to operationalize data products and help in troubleshooting when needed
People & Process Management
- Lead and mentor a team of 48 DataOps Engineers (Databricks + ETL + Airflow).
- Establish 24x7 monitoring coverage , on-call rotation, and escalation protocols.
- Drive standardization via runbooks , RCA templates , and knowledge bases .
- Define KPIs such as SLA adherence, job success rate, MTTA, MTTR, and recurring issue trend reduction.
- Advise, consult, mentor and coach other data and analytic professionals
Cross-Functional Collaboration
- Partner with data architects, analysts, and business owners to ensure operational readiness of new data pipelines.
- Collaborate with CloudOps , Security, and Platform Enginee
📌 Data Engineering Manager (Bengaluru)
🏢 Shire
📍 Bengaluru