15 of 15 Permanent Flink Jobs

analytical systems. API & Micro services Architecture: Comfortable working with REST APIs and micro services architectures. Real-time Stream Processing: Understanding of real-time stream processing frameworks (e.g., PubSub, Kafka, Flink, Spark Streaming). BI Tools & Visualisation Platforms: Experience supporting BI tools or visualization platforms (e.g. Looker, Grafana, PowerBI etc.). Data Pipelines & APIs: Experience in building and maintaining both More ❯

e.g., Hadoop, Spark). · Strong knowledge of data workflow solutions like Azure Data Factory, Apache NiFi, Apache Airflow etc · Good knowledge of stream and batch processing solutions like Apache Flink, Apache Kafka/· Good knowledge of log management, monitoring, and analytics solutions like Splunk, Elastic Stack, New Relic etc Given that this is just a short snapshot of the More ❯

tranformations for production data pipelines. Experience leveraging data modeling techniques and ability to articulate the trade-offs of different approaches. Experience with one or more data processing technologies (e.g. Flink, Spark, Polars, Dask, etc.) Experience with multiple data storage technologies (e.g. S3, RDBMS, NoSQL, Delta/Iceberg, Cassandra, Clickhouse, Kafka, etc.) and knowledge of their associated trade-offs. Experience More ❯

working with cloud platforms such as AWS, Azure, or GCP. Exposure to modern data tools such as Snowflake, Databricks, or BigQuery. Familiarity with streaming technologies (e.g., Kafka, Spark Streaming, Flink) is an advantage. Experience with orchestration and infrastructure tools such as Airflow, dbt, Prefect, CI/CD pipelines, and Terraform. What you get in return: Up to More ❯

e.g. mongodb, dynamodb, elasticsearch) Experience with front-end web development technologies (react, angular) Experience with data streaming technologies (kafka) Experience/awareness of data engineering technologies (apache iceberg, trino, flink, python) Key Behaviours Demonstrated leadership skills, including team mentoring and project ownership Strong collaborative ethos Strong creative and innovative problem-solving skills Experience leading development teams, able to demonstrate More ❯

Apache Hadoop/Cloudera) (all genders) Aufgaben Administrate, monitor and optimize our Big Data environment based on Apache Hadoop from Cloudera (AWS-Cloud) Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables IaaC deployment via Terraform Plan and execute updates/upgrades Advise our Data Engineers and Data Scientists on the selection of Hadoop services for More ❯

Apache Hadoop/Cloudera) (all genders) Aufgaben Administrate, monitor and optimize our Big Data environment based on Apache Hadoop from Cloudera (AWS-Cloud) Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables IaaC deployment via Terraform Plan and execute updates/upgrades Advise our Data Engineers and Data Scientists on the selection of Hadoop services for More ❯

Apache Hadoop/Cloudera) (all genders) Aufgaben Administrate, monitor and optimize our Big Data environment based on Apache Hadoop from Cloudera (AWS-Cloud) Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables IaaC deployment via Terraform Plan and execute updates/upgrades Advise our Data Engineers and Data Scientists on the selection of Hadoop services for More ❯

Apache Hadoop/Cloudera) (all genders) Aufgaben Administrate, monitor and optimize our Big Data environment based on Apache Hadoop from Cloudera (AWS-Cloud) Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables IaaC deployment via Terraform Plan and execute updates/upgrades Advise our Data Engineers and Data Scientists on the selection of Hadoop services for More ❯

Apache Hadoop/Cloudera) (all genders) Aufgaben Administrate, monitor and optimize our Big Data environment based on Apache Hadoop from Cloudera (AWS-Cloud) Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables IaaC deployment via Terraform Plan and execute updates/upgrades Advise our Data Engineers and Data Scientists on the selection of Hadoop services for More ❯

Apache Hadoop/Cloudera) (all genders) Aufgaben Administrate, monitor and optimize our Big Data environment based on Apache Hadoop from Cloudera (AWS-Cloud) Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables IaaC deployment via Terraform Plan and execute updates/upgrades Advise our Data Engineers and Data Scientists on the selection of Hadoop services for More ❯

ADMIRAL Technologies - A clear victory for your future! Aufgaben Administrate, monitor and optimize our Big Data environments based on Apache Hadoop (AWS Cloud) Manage and maintain services like Kafka, Flink, NiFi, DynamoDB and Iceberg Tables IaaC deployment via Terraform Plan and execute updates and upgrades Advise our Data Engineers and Data Scientists on the selection of Hadoop services for More ❯

and maintaining Kafka clusters to ensure high availability and scalability. • Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam. • Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. • Implementing security measures to protect Kafka clusters and data streams. • Monitoring … like Spark Required Skills Experience • Extensive Experience with Apache Kafka and real-time architecture including event driven frameworks. • Strong Knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam. • Experience with cloud platform such as GCP Pub/Sub. • Excellent problem-solving skills. ͏ Knowledge & Experience/Qualifications · Knowledge of Kafka data pipelines and messaging solutions to More ❯

Austria. We offer dedicated Data Engineers top access to interesting jobs. For a renowned IT company, we are looking for someone for a PERMANENT POSITION Data Engineer - Focus Apache Flink Aufgaben Analyze and prepare data from the pre-systems Model and map scalable ELT/ETL flows (batch and streaming) Interface between Data Analysts and Data Scientists Enrich data … Science Degree, Data Science etc.) Experience in data modeling (relational databases and Apache Hadoop) Know-how of core technologies such as SQL (MS SQL Server), Apache Hadoop (Kafka, NiFi, Flink, Scala and/or Java, Python) and Linux Showing interest in working with high-frequency data processing in a near-realtime environment Wir bieten Permanent position in a renowned More ❯

and maintaining Kafka clusters to ensure high availability and scalability. Integrating Kafka with other data processing tools and platforms such as Kafka Streams, Kafka Connect, Spark Streaming Schema Registry, Flink and Beam. Collaborating with cross-functional teams to understand data requirements and design solutions that meet business needs. Implementing security measures to protect Kafka clusters and data streams. Monitoring … industry practices. Required Skills Experience Extensive Experience with Apache Kafka and real-time architecture including event driven frameworks. Strong Knowledge of Kafka Streams, Kafka Connect, Spark Streaming, Schema Registry, Flink and Beam. Experience with cloud platform such as GCP Pub/Sub. Excellent problem-solving skills. Knowledge & Experience/Qualifications Knowledge of Kafka data pipelines and messaging solutions to More ❯