1 to 25 of 38 Permanent Flink Jobs

/Studio, ERwin, or Sparx EA (preferred). Experience reverse engineering models from existing databases. Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Experience with API management and gateway tools and services. Experience of RESTful APIs for ingesting and exposing data. Proven track record with data ...

robust, end-to-end SDLC practices. Required Education, Experience/Skills/Training: Required Qualifications Languages: Scala, Python, SQL, JavaScript Data Processing: Apache Spark, Flink, Airflow Platforms & Tools: Databricks, Hive, Presto, Snowflake Cloud: AWS (S3, EMR, Glue, Lambda) Minimum of 8 years of relevant software engineering, data engineering ...

platform role Strong hands-on experience with AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience with real-time and batch data processing - Apache Flink, Kafka, Spark, or similar Proficiency in one or more of: Python, Java, Scala Experience with data modelling , ETL processes, and distributed systems Comfortable working ...

working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.G., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization ...

working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.G., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization ...

working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.G., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization ...

working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.G., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization ...

working with large-scale or geospatial systems. Proficiency in Python and SQL (Spark SQL preferred); experience with distributed data processing frameworks such as Spark, Flink, or Beam. Familiarity with orchestration frameworks (e.G., Airflow, Temporal, Dagster ) and workflow automation principles. Experience with cloud platforms (AWS, GCP, or Azure) and containerization ...

pipelines and source control (GitHub, GitLab, Atlassian) Container platforms including Kubernetes, Docker, EKS or AKS Modern data or event-driven systems (e.g. Kafka, Flink) This is a role suited to someone who enjoys working on complex, security-focused systems and wants to combine hands-on engineering with team leadership ...

Azure, or GCP). Technical Expertise Deep knowledge of data architectures (data lakes, warehouses, lakehouse patterns). Experience with distributed processing frameworks (e.g., Spark, Flink). Strong understanding of data orchestration (e.g., Airflow, Dagster), storage, and streaming systems. Familiarity with data observability, quality, and governance tools. Leadership & Influence Strong ...

production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool ...

designing and building REST APIs and ETL/ELT pipelines at scale. Strong proficiency with real‐time and streaming data platforms such as Kafka, Flink, and Spark. Hands‐on experience with modern data orchestration and transformation tools such as dbt and Apache Airflow. Experience with data testing frameworks, pipeline ...

technical decisions through ambiguity in partnership with cross-functional stakeholders Experience with the data ecosystem: pipelines, ETL, modeling, and/or warehousing (Kafka, Spark, Flink, Airflow, Dagster, SQL, etc.) Cloud infrastructure knowledge (AWS, GCP, Azure) or containerization (Docker, Kubernetes) Candidates must reside in or be willing to relocate ...

management and rollout activities Technical Environment The squad works within a modern technology ecosystem including: • Java 8 • Spring Framework/Spring Boot • Kafka • Apache Flink • Cucumber/Gherkin • JUnit • Maven • Jenkins • Git • WireMock • IntelliJ • Octane • REST APIs • SQL Language Requirements • Dutch: Native level or minimum C1 (mandatory) • English: Fluent ...

designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker) Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale. Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp ...

designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker) Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale. Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp ...

designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker) Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale. Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp ...

designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker) Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.G., Apache Airflow, Flink), and model monitoring/drift detection at scale. Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp ...

designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker) Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale. Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp ...

batch and stream data processing systems. Experience with Datadog, SQL, Terraform, Docker, AWS (ECS, Kinesis, SQS, CloudWatch), GCP (BigQuery). Knowledge of Airflow, Kafka, Flink, dbt, Kubernetes is highly beneficial. Good understanding of AI platforms, experience building infrastructure for LLM orchestration (e.g., vector databases, RAG pipelines, GPU scaling ...

Strong experience designing large-scale, cloud-based data platforms Deep expertise in AWS services, including EC2, S3, RDS, Lambda, Redshift Proven experience with Apache Flink and real-time streaming architectures Strong background in: Data modelling ETL/ELT processes Data warehousing and distributed systems Experience leading, mentoring, and developing ...

development background with hands‐on experience in platform, infrastructure, or data‐centric environments. Deep expertise in event‐driven architectures, streaming technologies (e.g., Apache Kafka, Flink, and/or Pulsar). Proficiency across full‐stack technologies (Java, .Net, React) with the ability to guide technical decisions. Knowledge of hybrid/ ...

development background with hands‐on experience in platform, infrastructure, or data‐centric environments Deep expertise in event‐driven architectures, streaming technologies (e.g. Apache Kafka, Flink, and/or Pulsar) Proficiency across full stack technologies (Java, .Net, React) with the ability to guide technical decisions Knowledge of hybrid/cloud ...

Opentelemetry/Service Meshes etc.) Experience with configuration management tools (Ansible/Puppet/Kapitan/Terraform) Experience with distributed data platforms (Kafka/Flink/Airflow) Comfortable using cloud native and containerisation technologies (Kubernetes/Docker) Good Linux systems knowledge (experience with RHEL desirable) Broad knowledge across network ...

knowledge) Ability to work with large datasets and model deployment pipelines Strong problem-solving and communication skills Preferred: Exposure to streaming data tools like Flink, Kafka, or Kubernetes Experience in sports analytics or other sports data projects ...