24.04.2024 | Pełny etat | Lublin | Inter Cars S.A.And distributed data storage systems. Good understanding of relational databases and practical SQL. Good understanding of no relational databases like HBase, Hive, Casandra, Scylla. Familiarity with cloud platforms (AWS, Azure, GCP) and data engineering tools like Apache Airflow, Apache Kafka, or similar. What do
Zobacz później22.04.2024 | Pełny etat | Lublin | adzuna | 26 000 zł - 32 000 zł Strong expertise in Kubernetes, Helm, Docker, Jenkins, and Ansible. Proficiency with monitoring and alerting tools, such as Prometheus and Grafana. Experience of Terraform and cloud formation scripting AWS experience Proficient with Apache Kafka Experience with database technologies, including MySQL
Zobacz później15.04.2024 | Pełny etat | Lublin | OpensignalCustomer acquisition and retention strategies. We're looking for 5+ years of experience with building and optimizing big data pipelines in Apache Spark 5+ years of experience with Python and Java Advanced with relational SQL databases and SQL 3+ years of experience with one of DB MSSQL, Postgres, AWS
Zobacz później15.04.2024 | Pełny etat | Lublin | Ramp NetworkYou will be working on Maintaining and extending core libraries and infrastructure integrations, in particular database usage Influencing code optimizations and architecture, in particular in terms of reliability, stability and performance Improving developer experience for all our teams Building
Zobacz później15.04.2024 | Pełny etat | Lublin | Sigma Softwarearchitectures, balancing diverse constraints Adept problem-solving abilities, thriving in situations where details are scarce, and relishing the opportunity to influence solution direction Fluency in Python, with hands-on coding experience Strong command of databases, including relational DB (OLTP and OLAP
Zobacz później15.04.2024 | Pełny etat | Lublin | SAVENTIC HEALTH sp. z o.o.For finding rare diseases. Position that we offer Development and maintenance of ETL processes, data pipelines in "BIG DATA" architecture Creation and maintenance of data pipelines receiving data from medical units and structuring data in an internal database Expansion of tools supporting data quality
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