1 to 25 of 37 Permanent Flink Jobs

Experience with data governance, metadata services, data catalogues, or secure data access models. Exposure to event-driven architectures and streaming technologies such as Kafka, Flink, or Spark Streaming. Experience evaluating or contributing to open-source technologies. ...

/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 ...

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 ...

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 ...

experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of Python, SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

power analytics and AI-driven decision making. What youll be doing Building and optimising scalable data pipelines using Java (primary) and technologies like Kafka, Flink, or Spark Developing real-time streaming solutions and event-driven architectures using AWS services (Kinesis, MSK, Lambda, Glue) Contributing to data architecture, modelling … experience in data engineering or large-scale data platforms (3+ years) Proficiency in Java or Python Hands-on experience with streaming technologies (Kafka/Flink preferred) Good understanding of distributed systems and cloud platforms (AWS ideally) Experience with CI/CD, Docker, Kubernetes, and modern DevOps practices Why consider ...

DDIL) communications environments, supporting local processing at the edge Building streaming ingestion, event pipelines, and batch/stream processing workloads using technologies like Apache Flink and/or Apache Spark Implementing metadata, lineage, and catalogue capabilities along with policy-based security and governance Job Requirements: Extensive experience ...

data quality, testing, monitoring and observability across pipelines and models Build streaming pipelines where the use case warrants it (Kafka, Kinesis, Pub/Sub, Flink) Partner with analysts, scientists, BI developers and ML engineers to deliver the data products they need Contribute to data governance, cataloguing, access management … driven approaches CI/CD for data pipelines, version control discipline, infrastructure-as-code basics (Terraform) Streaming and big data exposure (Kafka, Kinesis, Spark, Flink) is a plus Data quality and observability tooling (Great Expectations, Monte Carlo, Soda, dbt tests) is a plus Engineering & Soft Skills: Strong software engineering ...