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Job Description
Need someone with strong Data Engineering skillet to ensure production (operations/support) related activities are delivered as per SLA. Need to work on issues/requests, bug fixes, minor changes, co-ordinate with the development team in case of any issues, work on enhancements.
Role Details
You will be part of the operation team providing
L2 support
to a client working in specified business hours or working in a
24*7 support model
.
Provide
Level-2 (L2) technical support
for data platforms and pipelines built on
Azure Data Factory (ADF), Databricks, SQL
, and
Python
. This role involves
advanced troubleshooting, root cause analysis, code-level fixes, performance tuning
, and collaboration with engineering teams to ensure
data reliability and SLA compliance
. Must adhere to
ITIL processes
for Incident, Problem, and Change management.
Key Responsibilities
Advanced Troubleshooting & RCA
- Investigate complex failures in ADF pipelines, Databricks jobs, and SQL processes beyond L1 scope.
- Perform root cause analysis for recurring issues, document findings, and propose permanent fixes.
- Debug Python scripts, SQL queries, and Databricks notebooks to resolve data ingestion and transformation errors.
- Analyze logs, metrics, and telemetry using Azure Monitor, Log Analytics, and Databricks cluster logs.
Code-Level Fixes & Enhancements
- Apply hotfixes for broken pipelines, scripts, or queries in non-production and coordinate controlled deployment to production.
- Optimize ADF activities, Databricks jobs, and SQL queries for performance and cost efficiency.
- Implement data quality checks, schema validation, and error handling improvements.
Incident & Problem Management
- Handle escalated incidents from L1; ensure resolution within SLA.
- Create and maintain Known Error Database (KEDB) and contribute to Problem Records.
- Participate in Major Incident calls, provide technical insights, and lead recovery efforts when required.
Monitoring & Automation
- Enhance monitoring dashboards, alerts, and auto-recovery scripts for proactive issue detection.
- Develop Python utilities or Databricks notebooks for automated validation and troubleshooting.
- Suggest improvements in observability and alert thresholds.
Governance & Compliance
- Ensure all changes follow ITIL Change Management process and are properly documented.
- Maintain secure coding practices, manage secrets via Key Vault, and comply with data privacy regulations.
Technical Skills
- Azure Data Factory (ADF): Deep understanding of pipeline orchestration, linked services, triggers, and custom activities.
- Databricks: Proficient in Spark, cluster management, job optimization, and notebook debugging.
- SQL: Advanced query tuning, stored procedures, schema evolution, and troubleshooting.
- Python: Strong scripting skills for data processing, error handling, and automation.
- Azure Services: ADLS, Key Vault, Synapse, Log Analytics, Monitor.
- Familiarity with CI/CD pipelines (Azure DevOps/GitHub Actions) for data workflows.
Non-technical Skills
- Strong knowledge of ITIL (Incident, Problem, Change).
- Ability to lead technical bridges, communicate RCA, and propose permanent fixes.
- Excellent documentation and stakeholder communication skills.
- Drive Incident/Problem resolution by assisting in key operational activities in terms of delivery, fixes, and supportability with operations team.
- Experience working in ServiceNow is preferred.
- Attention to detail a must, with focus on quality and accuracy.
- Able to handle multiple tasks with appropriate priority and strong time management skills.
- Flexible about work content and enthusiastic to learn.
- Ability to handle concurrent tasks with appropriate priority.
- Strong relationship skills to work with multiple stakeholders across organizational and business boundaries at all levels.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
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