обновлено 2 дня назад
Data Engineer (Databricks)
4 400 - 5 200€
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (Databricks) (Databricks/Spark): Designing and optimizing large-scale data pipelines and lakehouse solutions for business intelligence, advanced analytics, and machine learning with an accent on distributed processing, data quality, and cloud platforms. Focus on building scalable ETL architectures, improving performance and cost efficiency, and ensuring governance, security, and reliability in production environments.
Location: Remote and hybrid opportunities available in Bulgaria, Georgia, Lithuania, Mexico, Moldova, Poland, and Ukraine
Salary: €4,400–€5,200 gross per month, depending on hiring location and experience
Company
provides technology and engineering services, including advanced analytics and data engineering solutions.
What you will do
- Design, develop, deploy, and optimize scalable data pipelines and ETL processes using Databricks, Spark, Delta Lake, and MLflow.
- Architect and implement data lakehouse solutions with strong data quality, governance, and security.
- Optimize data workflows for performance and cost efficiency across Databricks and Azure, AWS, or GCP platforms.
- Collaborate with data scientists, analysts, and business stakeholders to translate data requirements into actionable insights.
- Mentor junior engineers and establish data engineering standards, documentation, and data models.
- Monitor, troubleshoot, and resolve production pipeline and environment issues while tracking developments in the Databricks ecosystem.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field.
- At least 5 years of data engineering experience, including 2+ years working hands-on with Databricks, Spark, Delta Lake, and MLflow.
- Strong Python and/or Scala skills, with a deep understanding of distributed data processing, data warehousing, and ETL.
- Experience with Azure Data Lake, AWS S3, or Google Cloud Storage, as well as large-scale relational and NoSQL databases.
- Knowledge of SQL, CI/CD, DevOps, infrastructure as code, data governance, security, and cloud compliance.
- Strong problem-solving, communication, and leadership skills; English at Upper Intermediate level or higher.
Culture & Benefits
- Technical and non-technical training for professional and personal development.
- Internal conferences and meetups with industry experts.
- Mentorship and support from experienced colleagues.
- Health insurance and sports activities.
- Flexible remote and hybrid work options.
- Referral rewards, work anniversary benefits, and additional vacation days.
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