Information Technology_USA - USA_Developer
About The Position
This role involves providing L1.5/L2 support for critical data platforms including Snowflake, Talend/TMC, Qlik Replicate, and Power BI. The engineer will be responsible for monitoring ETL/ELT pipelines, resolving job failures, schema drift, and data quality issues. Key responsibilities include executing deployments, patching, and upgrades, automating routine support tasks, and managing incidents and service requests through ITSM tools like ServiceNow. The position also requires supporting change management processes, collaborating with data engineering teams, ensuring compliance with SLAs and security policies, and participating in month-end processing and data validation. Maintaining operational documentation such as runbooks and SOPs is also a crucial part of the role.
Requirements
- Experience in data engineering or platform support.
- Hands-on experience with Snowflake, Talend/TMC, Qlik Replicate, and Power BI operations, Power Automate
- Strong SQL skills and performance tuning across data warehouse and BI tools.
- Familiarity with ServiceNow workflows and ITIL-based support models.
- Scripting experience in Python or PowerShell for automation.
- Understanding data quality checks, schema drift detection, and observability.
- Experience with access control, RBAC, and audit processes.
- Deep experience in ETL/replication tools and cloud data warehouses
- Exposure to change management and release processes
- Ability to troubleshoot complex data pipeline issues
Responsibilities
- Provide L1.5/L2 support for data platforms including Snowflake, Talend/TMC, Qlik Replicate, and Power BI.
- Monitor ETL/ELT pipelines and resolve job failures, schema drift, and data quality issues.
- Execute deployments, patching, and upgrades in coordination with DevOps and infrastructure teams.
- Automate routine support tasks using scripting (Python, PowerShell).
- Manage incidents, service requests, and problems using ITSM tools like ServiceNow.
- Support change management processes, including release coordination and documentation.
- Collaborate with data engineers and architects during data migration and transformation phases.
- Ensure compliance with SLAs, audit requirements, and security policies (e.g., RBAC, access control).
- Participate in month-end processing, data validation, and reconciliation activities.
- Maintain runbooks, SOPs, and knowledge base for operational continuity.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
