Middle Data Engineer
5 dni temu
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Ciklum is looking for a Middle Data Engineer to join our team full-time in Poland.
We are a custom product engineering company that supports both multinational organizations and scaling startups to solve their most complex business challenges. With a global team of over 4,000 highly skilled developers, consultants, analysts and product owners, we engineer technology that redefines industries and shapes the way people live.
About the role
As a Middle Data Engineer, become a part of a cross-functional development team engineering experiences of tomorrow.
Responsibilities
- Contributes design, code, configurations, and documentation for components that manage data ingestion, real-time streaming, batch processing, data extraction, transformation, and loading across multiple data storages.
- Owns one or more key components of the infrastructure and works to continually improve it, identifying gaps and improving the platform's quality, robustness, maintainability, and speed.
- Interacts with engineering teams and ensures that solutions meet customer requirements in terms of functionality, performance, availability, scalability, and reliability.
- Performs development, QA, and dev-ops roles as needed to ensure total end-to-end responsibility of solutions.
Requirements
We know that sometimes, you can't tick every box. We would still love to hear from you if you think you're a good fit
- 2+ years of experience coding in SQL, Java, Python, Scala, with solid CS fundamentals including data structure and algorithm design.
- 1+ years of hands-on implementation experience working with a combination of the following technologies: Hadoop, Map Reduce, Pig, Hive, Impala, Spark, Kafka, Storm, SQL and NoSQL data warehouses such as Hbase and Cassandra.
- 1+ years of experience in cloud data platforms (AWS, Azure, GCP).
- Knowledge of SQL and MPP databases (Vertica, Netezza, Greenplum, Aster Data).
- Knowledge of professional software engineering best practices for the full software development lifecycle.
- Knowledge of Data Warehousing, design, implementation and optimization.
- Knowledge of BI reports and dashboard design and implementation (Power BI, Tableau).
- Experience participating in an Agile software development team, SCRUM.
- A consistent track record of delivering exceptionally high-quality software on large, complex, cross-functional projects.
- Demonstrated ability to learn new technologies quickly and independently.
- Ability to handle multiple competing priorities in a fast-paced environment.
- An undergraduate degree in Computer Science or Engineering from a top CS program is required. Masters preferred.
- Experience with supporting data scientists and complex statistical use cases is highly desirable.
- Understanding of cloud infrastructure design and implementation.
- Experience in data science and machine learning.
- Experience in backend development and deployment.
- Experience in CI/CD configuration.
What's in it for you
- Care: your mental and physical health is our priority. We ensure comprehensive company-paid medical insurance, life insurance and Multisport card.
- Tailored education path: boost your skills and knowledge with our regular internal events (meetups, conferences, workshops), Udemy license, language courses and company-paid certifications.
- Growth environment: share your experience and level up your expertise with a community of skilled professionals, locally and globally.
- Flexibility: Own your schedule – you are the one to decide when to start your working day. Just don't miss your regular team stand-up.
- Opportunities: we value our specialists and always find the best options for them. Our Internal Mobility Program helps change a project if needed to help you grow, excel professionally and fulfill your potential.
- Global impact: work on large-scale projects that redefine industries with international and fast-growing clients.
- Welcoming environment: feel empowered with a friendly team, open-door policy, informal atmosphere within the company and regular team-building events.
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