Data Engineer Moldova

We’re growing fast and are looking for a Data Engineer professional to work on an exciting international software development project. You’ll work with the latest technologies in our bright, talented team. The environment at Amdaris is synergistic and supportive, so everyone can build the career they want in an organization going from strength to strength.

WE ARE AMDARIS

We bring together the best talent and next-level ideas to create outstanding solutions. With 40% year on year growth every year under our belt over the past four years, we have big plans for the future. Our growth plan is ambitious and our projects take software to the next level, so join our team in the center of Chisinau.

DATA ENGINEER JOB DESCRIPTION

The role of Data Engineer is fundamental in the delivery of a best-practice business intelligence infrastructure that will contribute to the delivery of high-quality data analytics in line with business priorities. They will be focused on architecting, building, managing and optimizing data pipelines/models and then moving these pipelines/models effectively into production for key data and analytics consumers (including but not limited to MI Analysts and Data Scientists). They will be required to work collaboratively with internal and external stakeholders to identify the optimal ways in which requirements can be achieved.

DATA ENGINEER RESPONSIBILITIES

• Develop and maintain data models and schema designs that support our business needs
• Applies standard data modelling and design techniques based upon a detailed understanding of requirements.
• Collaborate with stakeholders to understand business objectives and translate them into technical solutions.
• Work with product teams to ensure that data pipelines meet their needs.
• Monitor the performance of data pipelines and resolve issues as they arise.
• Ensure that data is accurate, reliable, and available.
• Develop and maintain documentation for data infrastructure and pipelines.

DATA ENGINEER REQUIREMENTS

• Strong experience with ETL/ELT, data modeling, and data integration
• Deep understanding of SQL, including, SSIS, SSAS and SSRS
• Experience with business intelligence tools (Tableau, Power BI, etc.).
• Apache Spark or other big data and data engineering frameworks.
• Databricks or other managed data analytics platform.
• Cloud services Azure, AWS or other cloud experience.
• Data modeling, data ingestion, data orchestration.
• Good knowledge of software development practices such as versioning, CI/CD.
• Strong communication in English (B2)

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