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We are looking for a Senior Developer team with a strong background in Spark/Scala technology to lead the design and delivery of cutting-edge data-driven solutions. This role combines hands-on engineering with technical leadership – you will both architect scalable data systems and guide a team to successful implementation.
Job Responsibility:
Lead end-to-end technical delivery of data engineering projects
Architect, design, and implement scalable data pipelines and platforms
Optimize workflows for data ingestion, processing, and storage (Spark, Airflow, Cloudera, DataBricks, Hive)
Develop and maintain data lake solutions for structured and unstructured data
Collaborate with global teams (business, data, and technology) to align solutions with organizational objectives
Oversee code quality, CI/CD pipelines, versioning, and release management
Write and review high-quality Scala/Spark code and contribute to automation
Mentor and support engineers, fostering technical excellence and growth
Ensure delivery is aligned with regulatory and compliance requirements
Requirements:
7+ years of experience in Big Data systems and data management
3+ years of hands-on experience with Scala/Spark
Hands-on with Big Data technologies like Spark, Cloudera, Data Platform, Airflow, Hive
Excellent understanding of dimensional data and data modeling techniques
Experience implementing and deploying solutions in cloud environments
Ability to work independently and take ownership of project deliverables
Fluent in English (at least C1 level)
Nice to have:
Hands-on experience with testing Big Data solutions - unit tests, integration tests, E2E tests
Understanding AI tools and techniques and how they can contribute to increasing development efficiency
What we offer:
Smart Office Pack so that you can work comfortably from home
Training and career development
Private medical insurance
Life insurance
Possibility to be part of a multicultural team and work on international projects