Senior Data Engineer – Join Our Growing Team!
We are looking for a Data Engineer to join our dynamic team. In this role, you will be responsible for designing and developing robust data solutions, contributing to the architecture, and driving the implementation of scalable data pipelines.
Your Responsibilities:
- Collaborate on the architecture and design of data solutions
- Develop and maintain scalable ETL processes
- Optimize data storage, processing, and analytics solutions
- Ensure best practices in CI/CD and infrastructure as code
- Work closely with cross-functional teams to deliver high-quality solution
What We’re Looking For:
- Strong hands-on experience with Azure Data Factory for data integration, orchestration, and pipeline development.
- Deep understanding of Snowflake – data modeling, performance optimization, and query tuning.
- Proficiency with Databricks (PySpark or Spark SQL) for data transformation and large-scale data processing.
- Solid knowledge of data architecture, ETL/ELT design, and data pipeline automation.
- Experience with cloud solutions, ideally within the Azure ecosystem.
- Experience with infrastructure as code (IaC) – Terraform knowledge is a strong advantage.
- Strong SQL and Python skills.
- Experience working with cloud-based data platforms and modern data engineering best practices.
- Ability to design and implement scalable, secure, and efficient data solutions.
- Excellent communication skills and ability to collaborate effectively across technical and business teams.
- Fluent English, both written and spoken.
- Proven experience in data engineering roles with a focus on Azure and modern data stacks.