Senior Data Engineer in Darnicya, Farmacevtichna kompaniya

Darnytsia is a place where each of more than 1,000 employees realizes their potential for a decent reward, masters innovative technologies, continuously searches for new solutions to improve the quality of life and health.

Darnytsia would not be what it is without the people who worked before, and those who make up the modern team. We value equality of rights, diversity, different perspectives and the life, professional and military experiences of our people. Every day we become stronger, because the best specialists, scientists, young talents join us.

It is time to find your place among us. To get to know us better, go to the site https://www.darnytsia.ua.

#In Darnytsia, you will be able to show your talents in a modern digital company that helps people get new generation medicines and improve quality life.

Features:

• Design and construction of scalable ETL/ELT processes;
• Creation of data quality standards: validations, monitoring, alerts, consistency control between systems and environments;
• Pipeline orchestration and automation: parameterization, versioning, promotion between environments, reliability control;
• Database administration: instance creation and maintenance, performance optimization, access policies, backup/restore, regular maintenance maintenance;
• Analysis and optimization of data processing and storage performance;
• Participation in the planning of the architecture of the entire data platform of the company and implementation of DataOps best practices;
• Participation in the selection of technological approaches and internal standards.

Requirements:

• 5+ years of experience in Data Engineering;
• Deep SQL and Python skills;
• Experience in building solutions in Microsoft Fabric (Lakehouse, Warehouse, Pipelines, Notebooks, Dataflows) or ecosystems with a similar architecture;
• Experience in working with Azure Data Factory: building integration processes, triggers, error handling, performance;
• Administration of relational and analytical DBMS;
• Experience scaling and optimizing data platforms, understanding sublakehouse moves and multi-layer architecture for analytics;
• Understanding the principles of data organization in large systems: layering, SLA/SLO, quality control;
• Practice of working with medallion architecture (bronze–silver–gold);
• Experience in performance tuning for large volumes of data and complex models;
• Experience in implementing DataOps processes;
• Skills in working with corporate analytical platforms;
• Experience in production or regulatory domains.
• English for documentation and professional communications.

We offer:

• Official employment, compliance with all guarantees, according to the Labor Code;
• Work in a progressive company that is constantly developing;
• Trial period - 3 months; 
• Opportunities for training, professional development and career growth;
• Friendly and inspiring team;
• Interesting tasks, rich pace of work in multitasking mode.