[Hiring] Data Integration Engineer @DMS Vision

Role Description

We're looking for a Data Integration Engineer with hands-on experience in modern data platforms and integration tools, combined with working knowledge of legacy PHP applications. You'll play a key role in modernizing our data infrastructure, building data pipelines, and integrating systems across cloud and on-prem environments.

• Design and implement data integration pipelines using SnapLogic, connecting data sources, APIs, and Snowflake.
• Manage and monitor real-time and batch data replication workflows via Qlik Replicate.
• Develop and maintain SQL queries, stored procedures, and data models within Snowflake.
• Work closely with application developers to integrate legacy PHP applications with new data platforms.
• Write scripts (e.g., Python, Bash, or PHP) to automate data tasks and operational workflows.
• Optimize data flow, ensure data quality, and support ongoing data operations.
• Collaborate with DevOps and data teams to implement best practices around data governance and cloud integration.

Qualifications

• 5+ years of experience in data engineering, ETL/ELT pipelines, or systems integration.
• Proficiency with Snowflake, including schema design and performance optimization.
• Strong experience with SnapLogic or a similar iPaaS tool.
• Familiarity with Qlik Replicate, CDC concepts, and data replication strategies.
• Solid scripting ability in Python, Shell, or similar.
• Experience working with or maintaining PHP-based applications.
• Understanding of APIs, data formats (JSON, XML), and REST/SOAP services.
• Comfortable working with both cloud and on-premise environments.

Requirements

• Experience migrating legacy systems to cloud environments.
• Knowledge of containerization (e.g., Docker), GitOps, or CI/CD pipelines.
• Familiarity with data governance, compliance, or security best practices.