a similar role. > Proficiency in programming languages such as Python, Java, or Scala. > Strong experience with data processing frameworks such as Apache Spark, ApacheFlink, or Hadoop. > Hands-on experience with cloud platforms such as AWS, Google Cloud, or Azure. > Experience with data warehousing technologies such as Redshift, BigQuery more »
AWS Certified Data Analytics Specialty, or AWS Certified Big Data Specialty. Experience with other big data and streaming technologies such as Apache Spark, ApacheFlink, or Apache Beam. Knowledge of containerization and orchestration technologies such as Docker and Kubernetes. Experience with data lakes, NoSQL databases, and other data management more »
and transitioning towards event-driven architecture Utilizing Java 17+ with Spring/Spring Boot 3+, SQL/Oracle Effective experience with Redis, Apache Kafka, Flink or similar Striving for Serverless solutions utilizing Linux, virtualization, containers, docker, Kubernetes, potentially in production environments, but at least for testing purposes Production monitoring more »
experience in setting up data platforms, setting standards - not just pipelines. Preferably experience in a distributed data processing environment/framework (e.g. Spark or Flink). Technologies: Java, Kotlin, Python (candidate is not expected to be proficient in one, and open to learn about the other) Kubernetes Apache Pulsar more »
production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including ApacheFlink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool for more »
production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including ApacheFlink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool for more »
easy and developer friendly platform to create, manage and monitor their own kafka infrastructure Help drive our stream processing platform, whether it be ApacheFlink, Spark, or another relevant technology Collaborate with cross-functional teams to design, develop, and implement scalable and reliable solutions Troubleshoot and resolve complex issues more »
