Data Engineer

We are seeking a skilled Mid Data Engineer who demonstrates reliability in implementing data pipelines, a solid understanding of core data concepts, and the ability to independently execute well-defined tasks.

Main Responsibilities:

• Implement data pipelines to support data ingestion and processing.

• Design and optimize ETL/ELT processes to ensure efficient data flow.

• Collaborate with cross-functional teams to gather data requirements.

• Monitor and troubleshoot data workflows to maintain data integrity.

• Participate in code reviews and contribute to testing activities.

Key Requirements:

• Experience with Microsoft tools like Microsoft Fabric, Azure Data Factory, and Synapse, or comparable technologies.

• Cloud experience across platforms such as Azure, AWS, or Google Cloud.

• Strong programming skills (e.g., SQL, Spark, Python, or other scripting languages).

• Robust understanding of ETL/ELT workflows, data architecture, and technical architecture design principles.

• Proficiency with version control systems (Git) and code reviews.

• Experience troubleshooting coding issues and optimizing workflows.

• Code review and testing experience.

• A minimum of 3 years of experience in data engineering, with a focus on cloud-native solutions and data architecture.

• English language proficiency of at least B2 level.

Nice to Have:

• DevOps (CI/CD for data) and/or DataOps experience.

Other Details:

Work model: 2 days per week in the office.