1 to 25 of 56 Permanent Flink Jobs

like ER/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 governance, quality ...

/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 ...

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 ...

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 ...

practical knowledge of AWS data services including Redshift, Glue, EMR, Kinesis and S3 Experience with modern data engineering tools such as dbt, Spark or Flink Proven experience with SQL and NoSQL databases including PostgreSQL, MySQL and DynamoDB Knowledge of data governance frameworks and tools including metadata management and data ...

production Python systems Strong experience with microservices, databases, and production infrastructure Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) Quantitative background—maths, physics, engineering or finance—you can read a model and reason about correctness Experience with testing, monitoring, and debugging ...

production Python systems Strong experience with microservices, databases, and production infrastructure Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) Quantitative background - maths, physics, engineering or finance - you can read a model and reason about correctness Experience with testing, monitoring, and debugging ...

applications. Your depth of expertise in technologies including Golang and Python programming languages, popular distributed compute frameworks including Spark/Dask/Ray/Flink, container (e.g., Kubernetes) and serverless (e.g., AWS Lambda) runtime environments, and ML+AI workload patterns will provide an amplifying technical element that is paramount ...

Experience with Apache Kafka and Apache Flink. Experience helping customers build distributed systems or streaming solutions that use Kafka alongside technologies such as Spark, Flink, Hadoop, Cassandra, etc. Other Relevant Job Details For additional information about location requirements, please discuss with the recruiter following submission of your application. Some ...

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 ...

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 ...

Ansible) Test Driven Development with relevant tools/frameworks Containerisation and orchestration (Kubernetes, Docker, ECS/EKS, AKS) Knowledge of event streaming technologies (Kafka, Flink) Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built ...

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 ...

quickly get up to speed Ability to diagnose faults and remedy under time pressure Additional Beneficial Skills or Experience Experience with stream processing (Kafka, Flink) Experience with dbt, Snowflake, Airflow Experience with other programming languages Python, Java, Scala, F# Kubernetes/OpenShift/Docker, helm templates Perks & Benefits Annual ...

operational data stores, event streaming platforms, and real-time data pipelines. Architect and document solutions using technologies such as Hive, Impala, HBase, Spark, NiFi, Flink, Kafka, and equivalent AWS services. Design Kafka-based streaming applications, including event ingestion, topic design, consumer patterns, error handling, replay, scalability, and resilience. Define … similar Spark/Spark Streaming HBase/Cassandra/NoSQL data stores Hive/Impala Apache NiFi/ingestion frameworks Apache Airflow Orchestrations Apache Flink or equivalent stream processing technologies Java/Spring Boot/Spring Kafka Python and PySpark REST APIs and service-based data consumption Change Data ...

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/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 ...