Инженер данных
генерация резюме под вакансию
сопроводительное письмо
описание
Olympus Corporation is a global medical technology company that designs and delivers innovative solutions for medical and surgical procedures, aiming to improve people's lives through healthcare technology.
задачи
- Lead strategic planning and execution of prioritized Data & Advanced Analytics solutions with business and product owners;
- Architect and develop enterprise-wide data and analytics frameworks, libraries, and reusable components;
- Design and implement secure, best-practice data integration strategies to enable seamless data flow across systems;
- Ensure data availability and accessibility by building stable, scalable, and modular data science pipelines;
- Oversee acquisition, ingestion, processing, and optimization of multi-source data into the Azure cloud data platform;
- Partner with stakeholders to model data landscapes, obtain extracts, define secure data exchange methods, and promote a data-driven culture;
- Map data fields to hypotheses and curate high-quality data inputs for advanced analytical models;
- Ensure compliance with Information Security, Cyber Security, Validation, and Data Privacy requirements;
- Innovate and implement automation solutions using modern cloud technologies to improve operational efficiency;
- Provide lateral leadership and coordinate activities with Data Engineers, Cloud Architects, DevOps, and MLOps experts, and oversee external service providers;
- Mentor and guide junior architects and data engineers;
- Develop and maintain comprehensive documentation for data architecture, cloud solutions, and operational procedures.
требования
- Master’s degree in Information Technology, Computer Science or a related field;
- 6–8+ Years of relevant experience, preferably in Pharma/MedTech/Healthcare;
- Proven ability to handle structured, semi-structured and unstructured data and link datasets for analysis;
- Strong programming skills (Python preferred; JavaScript, Scala or Java acceptable);
- Experience with distributed processing and big-data tools (Spark, Hadoop/EMR) and data warehousing/ETL (preferably ADF);
- Proficiency across database technologies: RDBMS (MS SQL, Oracle, PostgreSQL, MySQL), MPP platforms (Snowflake, Redshift) and NoSQL stores (CosmosDB, MongoDB, DynamoDB, Cassandra, graph DBs);
- Solid knowledge of cloud platforms and services (Azure preferred) and proven cloud architecture experience;
- Infrastructure as Code experience (preferably Terraform) and strong information-security awareness;
- Strong business acumen, analytical and creative problem-solving skills;
- Effective cross-functional collaboration and communication skills;
- Fluency in English.
условия
- Competitive Salary;
- Permanent employment contract;
- Health Insurance;
- Vacation Policy (24 vacation days, plus additional days off for birthday and December 24th);
- Free Curative Medicine;
- 24/7 Employee Assistance Program (EAP);
- Nutritional Options at Work (canteen with diverse meal choices);
- Unlimited Access to LinkedIn Learning;
- Initial and continuous training;
- Referral Program;
- Engaging Events (Team buildings, holidays celebrations, and themed days);
- On-site parking (including electric car chargers).
навыки
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