Senior Software Engineer I
LexisNexis Risk Solutions3 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.
- Support Python automation processes, scheduled jobs, and file transfer workflows.
- Administer Windows servers, including patching, software installation, vulnerability remediation, and system maintenance.
- Support Azure Databricks, Azure Data Factory, Synapse, and Data Lake Storage services.
- Create and maintain monitoring, alerting, dashboards, centralized logging, operational reporting, documentation, diagrams, and support procedures.
- Define and track operational metrics, KPIs, SLAs, and SLOs and automate repetitive support tasks to improve platform reliability.
Requirements
- Strong Python development and troubleshooting skills, with PySpark experience expected.
- Experience building observability solutions involving logging, monitoring, dashboards, 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 data formats including CSV, JSON, XML, and Parquet.
- Experience administering Windows Server environments and knowledge of data integration, 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, Job Scheduler, Databricks, and Azure Data Factory.
- Background in NOC/networking, administration, development, or data engineering with progression toward Python and observability-oriented work is beneficial.
Categories
Data EngineeringDevOps
About LexisNexis Risk Solutions
LexisNexis Risk Solutions builds data and analytics products for businesses and governments to assess risk, prevent fraud, verify identities, and meet compliance. It sells APIs, decisioning platforms, and curated data sets used across insurance, financial services, healthcare, and public safety. Headquartered in Alpharetta, Georgia, it operates as part of RELX, providing industry-specific solutions such as insurance risk scores and digital identity intelligence.