DATA ENGINEER
Inherent Technologies
JD Experience: 10+ years of hands‑on professional software engineering and technical leadership experience. Architecture & Design: Proven track record of architecting distributed data processing systems, schema design, and microservices. Data Engineering Stack: Expert‑level proficiency with Databricks, DBT and Apache Airflow. Programming: Mastery of Python and solid database/SQL expertise. AWS Cloud Depth: Hands‑on experience with core AWS services: EC2, S3, Lambda, and RDS, including IAM and secure VPC networking. Web Services & Integration: Strong proficiency in REST API design and integration patterns (JSON, XML, OData). Strong Plus Full‑Stack Familiarity: Experience or familiarity with frontend tech stacks (HTML/CSS, TypeScript, Node.js, or React). DevOps Excellence: Solid grasp of infrastructure‑as‑code (Terraform), containerization (Docker), and automated DevSecOps pipelines. Regulated Systems: Experience working in GxP environments or software requiring compliance with FDA 21 CFR Part 11 regulations. Security & Auth: Practical knowledge of modern authentication protocols (OAuth, JWT, SAML). Education: Bachelor's degree in Information Technology, Computer Science, or a related technology stream. #J-18808-Ljbffr Inherent Technologies
Vacancy posted 2 days ago
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