Job Title : Integration Engineer
Job Location : Remote- 100%
Contract : 12 Months
Note : Preferred candidate based in MST or PST time zone.
This is W2 Opening , Candidate looking for C2C arrangement please do not apply .
Overview
- Looking for an integration specialist / architect-level candidate who will help with data integration into Snowflake platform.
- Role focuses on integrating data from multiple enterprise applications into Solidigm infrastructure.
- Strong preference for candidates from product manufacturing domain such as semiconductor, capital goods, or automotive.
- Candidates from finance, healthcare, or insurance are not suitable due to lack of domain understanding.
- Experience range is 5 10 years, open to strong junior (3 years) or more senior (10 15 years) candidates.
Day to Day
- Candidate will work on integrating supply chain risk management application data into Snowflake.
- Responsible for fixing existing issues where API endpoints and data pipelines are not working correctly.
- Will handle around 10 APIs and 30 40 tables where previous implementation failed.
- Work closely with IT infrastructure team, vendors, and functional teams to ensure data flow is accurate, validated, and consumable. Focus is on architecture, validation, and integration design rather than heavy coding.
- Will define how data is structured, consumed, refreshed, and managed across systems.
Must Have Skills
Strong experience in data integration and data pipelining.
Azure Data Factory is key but candidate will not be doing heavy coding.
Hands on experience with enterprise systems such as SAP and general ERP, planning systems, and product lifecycle systems.
Experience working on end-to-end integration projects.
Ability to work with APIs and validate data flows using tools like Postman.
Strong architectural thinking including handling large datasets, defining data structures, and integration logic.
Experience in product manufacturing domain is critical.
SAP is important. Blue Yonder is niche but basic understanding of planning systems is needed. Knowledge of ERP systems, planning systems, and product lifecycle systems is required.
Candidate should have worked on end-to-end integration projects and understand how enterprise systems interact.
Nice to Have
Experience with Azure ecosystem, especially Azure Data Factory, but candidates with AWS or Google Cloud Platform are also acceptable. Basic knowledge or awareness of AI concepts is preferred. Exposure to tools like Snowflake, Blue Yonder, and other supply chain applications is helpful. Experience working in semiconductor or similar industries is a plus.
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