Summary
Join Gorilla Logic as a Data Engineer and leverage your expertise in data integration, SQL, and client interaction to build and maintain robust data pipelines for US-based enterprise clients. You will collaborate with stakeholders, implement integrations using platforms like Dell Boomi or MuleSoft, and ensure data integrity. This role demands strong problem-solving skills in a fast-paced environment and requires extensive experience in data engineering and client-facing consulting. You will play a critical role in powering mission-critical business applications and mentoring junior engineers. The ideal candidate thrives in collaborative settings and enjoys tackling complex integration challenges.
Requirements
- 7+ years of hands-on experience in data engineering or integration engineering roles
- Strong expertise in SQL and relational database systems (PostgreSQL, SQL Server, Oracle, etc.)
- Proven experience with integration platforms such as Dell Boomi, MuleSoft, or equivalent custom integration frameworks
- Advanced knowledge of data mapping, transformation logic, and handling edge-case scenarios
- Experience troubleshooting complex data pipelines and resolving data quality issues
- Excellent communication and consulting skills; ability to interface directly with US-based clients
- Demonstrated success working in client-facing roles within a consulting or professional services environment
- Fluent in English (written and spoken)
Responsibilities
- Design, develop, and maintain data pipelines, integrations, and transformation workflows across multiple systems
- Collaborate with client stakeholders, business analysts, and technical teams to understand data needs and deliver effective solutions
- Implement data integration using Dell Boomi, MuleSoft, or custom-built frameworks
- Perform data mapping, cleansing, transformation, and troubleshooting to ensure data integrity and consistency
- Create and optimize complex SQL queries and stored procedures to support reporting, analytics, and ETL/ELT processes
- Participate in requirements gathering, technical documentation, and client presentations as a trusted technical advisor
- Monitor data workflows and proactively resolve data quality or integration issues
- Mentor junior engineers and contribute to best practices and standards
Preferred Qualifications
- Experience with data modeling, data lake architecture, or event-driven data processing
- Familiarity with scripting languages (Python, Bash, etc.) for automation or ETL tasks
- Knowledge of Agile methodologies and Jira-based workflows
- Experience with data governance, security, and compliance standards (GDPR, HIPAA, etc.)
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