Senior Software Engineer

RELX

. Monitor and support production data pipelines and analytics platforms .

Posted 10/22/2026full-timeChennai • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development and troubleshooting, with a strong focus on operational efficiency and reliability in data pipelines. Proficient in monitoring, observability, and cloud platform administration, particularly within Azure environments.

Highest-signal resume keywords

Python DevelopmentAzure DatabricksObservability ExperienceWindows Server AdministrationData Integration Concepts

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonPySparkData IntegrationTroubleshootingPerformance AnalysisCSVJSONXMLParquetMonitoring

Soft Skills

Analytical SkillsVerbal CommunicationWritten CommunicationMulti-Priority Management

Tools & Technologies

Azure Data FactoryGrafanaElasticsearchKibanaAzure Log AnalyticsAmazon CloudWatchControl-MAutoSysAirflowWindows Task Scheduler

Industry Keywords

Data PipelinesOperational EfficiencyRoot Cause AnalysisIncident CommunicationCentralized Logging

Tech Stack

Tools & technologies

AirflowAzureCloudDNSElasticSearchFirewallsGrafanaPySparkPython

About the role

Key responsibilities & impact

Monitor and support production data pipelines and analytics platforms
Identify opportunities to improve reliability, performance, and operational efficiency
Troubleshoot pipeline failures, data issues, application errors, performance problems, and data movement across on-premises and cloud environments
Perform root cause analysis and implement corrective actions
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, Data Factory, Synapse, and Data Lake Storage services
Create and maintain operational documentation, diagrams, and support procedures
Design and maintain monitoring, alerting, and dashboard solutions
Build and maintain centralized logging and operational reporting
Define and track operational metrics, KPIs, SLAs, and SLOs
Develop proactive monitoring to detect issues before they affect users
Automate operational tasks and repetitive support activities
Drive continuous improvements in platform reliability and observability

Requirements

What you’ll need

Strong Python development and troubleshooting skills
PySpark experience
Experience with observability, including logging, monitoring, dashboard creation from logs, alerting, debugging, and performance analysis
Experience with Grafana and Elasticsearch/Kibana
Experience with Azure Log Analytics Workspace and Amazon CloudWatch Logs
Experience with Azure or other cloud platforms
Experience using CSV, JSON, XML, and Parquet data formats
Experience administering Windows Server environments
Knowledge of data integration concepts, file transfers, APIs, and data validation
Understanding of DNS, proxies, firewalls, VPNs, and SSL/TLS
Strong troubleshooting, analytical, verbal, and written communication skills
Ability to manage multiple priorities in a fast-paced environment
Scheduling tools experience with Control-M, AutoSys, Airflow, Windows Task Scheduler, or Job Scheduler is beneficial
Databricks and Azure Data Factory experience is beneficial but not mandatory
Background in NOC/networking, administration, development, or data engineering with movement toward Python and observability-oriented work is preferable
Applications welcomed from candidates with non-traditional education or experience

Benefits

Comp & perks

Country specific benefits
Accommodations or adjustments during the recruitment process
Equal opportunity employment