Senior Data Engineer
Key Responsibilities:
- Monitor and troubleshoot ETL processes to ensure data is delivered accurately and on time.
- Provide Level 3 technical support for Talend solutions, including Data Integration and API Integration.
- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and ensure data quality and integrity.
- Resolve complex ETL and data integration issues, including performance tuning and job failures.
- Act as the escalation point for Level 2 support teams on critical issues.
- Analyze logs and system behaviors to identify root causes.
- Work with development teams to design fixes and process improvements.
- Ensure Talend systems? availability, reliability, and performance through best practices.
- Support software upgrades, patches, and new releases.
- Create and maintain technical documentation, including data mappings, process flows, and troubleshooting guides.
- Work with cloud-based data platforms (e.g., AWS, Azure, Google Cloud) to deploy and manage data pipelines.
- Ensure compliance with data security and governance protocols.
- Participate in an on-call rotation for 24/7 critical incident support.
Required Skills and Qualifications:
- Bachelor’s degree in computer science, IT, or related field.
- 5+ years of experience in technical support or IT operations focused on ETL and data platforms.
- Expertise in Talend products and resolving complex ETL issues.
- Expert in SQL and relational databases (e.g., MySQL, Oracle and Netezza) with the ability to write and troubleshoot complex queries.
- Familiar with cloud data platforms (AWS, Azure, Google Cloud) and cloud troubleshooting.
- Knowledgeable in data integration, quality, and governance principles.
- Excellent problem-solving skills and experience in large-scale systems analysis.
- Experience with ticketing systems like Jira or ServiceNow.
- Strong communication skills for collaboration and technical translation.
Preferred Skills:
- Scripting and automation experience (Python, Shell scripting).
- Knowledge of big data technologies (Hadoop, Spark) and Talend integration.
- Familiarity with DevOps practices and CI/CD pipelines.
- Certifications in Talend or other ETL tools are a plus.
- ITIL certification or experience in an ITIL-based environment.
