Data Engineer

Role Summary
We are looking for a Senior SnapLogic Developer to design, build, and optimize enterprise-grade data integration solutions. The ideal candidate will work closely with architects, data engineers, and business stakeholders to deliver scalable, secure, and high-performance integrations across cloud and on-prem systems.
Key Responsibilities
Design, develop, and maintain SnapLogic pipelines using best practices
Build parameter-driven, reusable, and scalable integration frameworks
Implement batch, near-real-time, and streaming data integrations
Integrate diverse source systems including RDBMS, SaaS apps, APIs, files, and cloud storage
Handle error management, retries, auditing, and logging in pipelines
Optimize pipeline performance and ensure high availability
Collaborate with data architects to align with enterprise data standards
Support production deployments, enhancements, and troubleshooting
Participate in design reviews and mentor junior developers
Required Skills & Qualifications
4+ years of hands-on SnapLogic development experience
Strong Expertise In
Pipelines, Tasks, Ultra Tasks
REST, SOAP, and API integrations
Error handling, monitoring, and pipeline optimization
Solid SQL skills (Snowflake, Oracle, SQL Server, or similar)
Experience integrating with cloud data platforms (Snowflake, AWS, Azure, GCP)
Understanding of data warehousing concepts

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(ETL/ELT, CDC, schema evolution)
Experience with version control and CI/CD practices
Strong communication skills for client and stakeholder interaction
Nice to Have
SnapLogic Certified Integrator or Certified Developer
Experience with Snowflake + SnapLogic enterprise implementations
Exposure to Kafka, streaming pipelines, or event-driven architectures
Knowledge of data quality, governance, and observability
Prior experience in consulting or client-facing roles