Join #Ensiteam!

We are a company focused on custom software development and have been in the market for over 22 years. At Ensitech, we are dedicated to finding highly specialized talent to work with large companies in the United States, Europe, and Canada.

Each one of our collaborators works with different teams and colleagues around the world, in the design and commercialization of software. We look forward to having you as part of our team in the role of Senior Data Engineer (Oracle / NetSuite Integrations), building hands-on data extraction pipelines from enterprise systems. You will receive complex client systems, understand how they are built, and come back with a plan for extraction, modeling, and loading, without needing daily supervision, in a startup-style environment with PostgreSQL and AWS.

Key Responsibilities

- Design and build pipelines that extract data from Oracle (ERP/Fusion, EBS) or NetSuite via API.
- Model the extracted data for analytics and for consumption by other systems.
- Write production-grade SQL and Python: extraction, transformation,



validation, and loading.
- Evaluate a new system end to end and propose the integration architecture.
- Optimize analytical processing with columnar engines (DuckDB or others).

Required Skills & Experience

- 7+ years in data engineering.
- Deep experience extracting data from Oracle or NetSuite via API.
- Experience with any of the following tools:
- NetSuite: SuiteQL, SuiteTalk (SOAP/REST), SuiteAnalytics Connect, Celigo.
- Oracle: BICC, BI Publisher, Oracle Integration Cloud (OIC).

- Advanced SQL and strong Python.
- Data modeling (dimensional, normalized, or similar).
- Experience in software companies or startups.
- Advanced English.

Nice to Have

- DuckDB, ClickHouse, Polars, Snowflake, BigQuery, or Redshift.
- PostgreSQL and AWS.
- Valid U.S. visa.

What do we offer?

✅ Competitive salary and benefits.

✅ International and innovation-driven environment.

📌 Senior Data Engineer (Oracle / NetSuite Integrations) (Ciudad de México)
🏢 Ensitech
📍 Ciudad de México