3 days ago
Mumbai, India or Chennai, IndiaSenior
Responsibilities
- Monitor and support production data pipelines and analytics platforms across on-premises and cloud environments.
- Troubleshoot pipeline failures, data issues, application errors, performance problems, and data movement issues.
- Perform root cause analysis, implement corrective actions, and communicate incidents, remediation plans, and service impacts to stakeholders.
- Develop and support Python automation, scheduled jobs, and file-transfer workflows.
- Administer Windows servers, including patching, software installation, vulnerability remediation, and system maintenance.
- Support Azure Databricks, Azure Data Factory, Azure Synapse, and Azure Data Lake Storage services.
- Design and maintain monitoring, alerting, dashboards, centralized logging, and operational reporting.
- Define and track operational metrics, KPIs, SLAs, and SLOs and automate repetitive support activities.
- Create and maintain operational documentation, diagrams, and support procedures.
Requirements
- Strong Python development and troubleshooting skills, with PySpark experience expected.
- Strong observability experience covering logging, monitoring, dashboard creation, alerting, debugging, and performance analysis.
- Experience with Grafana, Elasticsearch/Kibana, Azure Log Analytics Workspace, and Amazon CloudWatch Logs.
- Experience with Azure or other cloud platforms and common data formats including CSV, JSON, XML, and Parquet.
- Experience administering Windows Server environments.
- Knowledge of data integration concepts, file transfers, APIs, and data validation.
- Understanding of networking fundamentals including DNS, proxies, firewalls, VPNs, and SSL/TLS.
- Strong troubleshooting, analytical, verbal, and written communication skills, with the ability to manage multiple priorities.
- Preferred experience with Control-M, AutoSys, Airflow, Windows Task Scheduler, or Job Scheduler.
- Experience with Databricks and Azure Data Factory is beneficial.
- Background in NOC/networking, administration, development, or data engineering with progression toward Python and observability-oriented work is preferred.
Benefits
- Country-specific benefits are offered.
- Accommodation and support are available throughout the hiring process for candidates with disabilities or other needs.
Categories
Data EngineeringDevOps
About RELX
RELX provides information-based analytics, research content, and decision tools for scientists, legal and risk professionals, insurers, and governments. Through segments including Elsevier (STM), LexisNexis (legal and risk), and RX (exhibitions), it sells subscriptions, data services, and software platforms used in 180+ countries. Headquartered in London, it is a public company listed in London and Amsterdam.