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# Data Engineer

- **Company:** Shift Technology
- **Location:** Inconnu, France
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Airflow, Applications Architecture, C Sharp (Programming Language), Cloud Computing, Computer Programming, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Data Transformation, Data Stores, Data Vault Modeling, Distributed Data Store, Python (Programming Language), Microsoft SQL Server, NoSQL, Oop Languages, Software Engineering, Workflow Management Systems, Database Optimization, Pyspark, Star Schema, Data Management, Terraform, Data Pipelines
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/senior-data-engineer-with-terraform-skills-shift-technology-7881773

## About the Role

* 5+ years of experience in software development or data engineering in cloud-based environments.
 * Strong programming skills in Python, with a solid grasp of OOP principles - C# programming experience would be nice to have
 * Very good grasp of Infra-as-Code (IaC) and Terraform
 * Proficiency in data transformation and processing tools (e.g. PySpark, dbt).
 * Experience designing scalable and robust data platforms.
 * Familiarity with data modeling techniques (e.g., star schema, data vault).
 * Experience with distributed data systems and Database optimization
 * Comfortable working with NoSQL data stores and SQL Server.
 * Experience in ETL processes and orchestration tools like Apache Airflow etc
 * A passion for continuous learning, mentoring, and solving complex problems.
 * Excellent communication skills in English.

## Description

* Your technical expertise and autonomy will allow you to design and implement scalable, intuitive features across our platform.
 * Build and maintain high-performance data pipelines, contributing to a robust data and application architecture.
 * Collaborate closely with cross-functional teams including Data Scientists, Engineers, and Product Managers to deliver impactful solutions.
 * Operate and enhance our data infrastructure, ensuring seamless data movement across platforms.
 * Support the evaluation and integration of tools that empower engineering and data science teams.


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