Data Engineer in Warsaw
3 months ago
- Over 2+ years of experience in Data Warehouse development and database design
- In-depth knowledge of distributed computing principles
- Experience with AWS cloud services and big data platforms such as EMR, Databricks, EC2, S3, and Redshift
- Proficiency with Scala, Spark✨, Hive, Yarn/Mesos, etc.
- Strong skills in SQL and NoSQL databases, including data modeling and schema design
- Proficient in programming languages such as Java, Scala, or Python for data processing algorithms and workflows
- Familiarity with Presto and Kafka is advantageous
- Experience with DevOps practices and tools for automating deployment, monitoring, and managing big data applications is a plus
- Excellent communication, analytical, and problem-solving abilities.
IN-HOUSE position (Hybrid work - Warsaw office).
We are looking for Data Engineers (Middle) for our client located in Warsaw.
,[Follow and promote best practices and design principles for Big Data ETL jobs, Help in technological decision-making for the business’s future data management and analysis needs by conducting POCs, Monitor and troubleshoot performance issues on data warehouse/lakehouse systems, Provide day-to-day support for data warehouse management, Assist in improving data organization and accuracy, Collaborate with data analysts, scientists, and engineers to ensure best practices in terms of technology, coding, data processing, and storage technologies, Ensure that all deliverables adhere to our world-class standards] Requirements: Data warehouse, AWS Cloud, Big data, Spark, Apache Mesos, Python, Presto, Kafka, DevOps-
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