1 to 25 of 32 Permanent Flink Jobs

roadmap for services, ensuring they are robust, performant, and easy to consume by other teams. Lead design and implementation of streaming solutions using Kafka, Flink, and related technologies. Collaborate with product and engineering teams to understand requirements and deliver platform capabilities that accelerate their development. Drive best practices ...

Code tools such as AWS CDK, CloudFormation, Terraform, or AWS CLI Experience with real-time stream processing and Complex Event Processing (CEP) using Apache Flink or similar technologies is a plus Experience with automated testing frameworks, specifically Playwright for end-to-end and UI testing Strong focus on scalability ...

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 ...

exposure to AI productivity tooling is advantageous Desirable Experience: Vector databases and embedding-based pipelines Real-time data streaming technologies (e.g. Kafka, Flink) RPA tools such as UiPath or Power Automate Data transformation tools such as dbt Exposure to modern AI tooling and frameworks (e.g. Claude-based developer tools ...

Confluent Platform Deep knowledge of Kafka internals & KRaft architecture Experience with Confluent Cloud, stream governance, RBAC, and data lineage Expertise in stream processing (Apache Flink, Kafka Streams, ksqlDB) Strong Java, Python, or Scala skills Hands-on experience with AWS/GCP/Azure & Kubernetes CI/CD & infrastructure automation ...

with Kafka and distributed streaming sys tems.Solid understanding of SQL and data mode ling.Experience with containerization (Docker) and orchestration (Kuberne tes).Working knowledge of Flink, Spark, or Databricks for data proces sing.Familiarity with AWS services (ECS, EKS, S3, Lambda, e tc.).Basic scripting in Python for automation or data ...

hands-on experience wi th AWS (EC2, S3, RDS, Lambda, Redshift, Glue, Athena) Experience wi th real-time and batch data process ing — Apache Flink, Kafka, Spark, or similar Proficiency in one or more o f: Python, Java, Scala Experience wi th data modell ing, ETL processes, and distributed ...

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 ...

Worked with one or more cloud platforms and services (AWS, Azure, GCP) Extensive hands‐on experience with modern data technologies, ETL tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Software development experience with one or more languages (e.g. Python ...

production Worked with one or more cloud platforms and services (AWS, Azure, GCP) Hands-on experience with modern data technologies and tools (e.g. Kafka, Flink, DBT etc.), data storage (e.g. Snowflake, Redshift, etc.) and also IaC (e.g. Terraform, CloudFormation) Pragmatic approach to solving problems Nice to haves Keen interest ...

based and/or serverless environment, hosted on public cloud (AWS EKS and Kubernetes preferred) Experience working with data pipeline technologies, such as Kafka, Flink, AWS SNS/SQS/Kinesis, etc. Solid understanding of CI/CD concepts, including version control, branching models, appropriate quality control techniques, secrets ...

Risk Management Framework (RMF) process Proficiency in system design and meticulous documentation Experience in streaming and/or batch analytics (e.g. Kafka, Spark, Flink, Storm, MapReduce, Hadoop) Experience in distributed databases, NoSQL databases, full text-search engines (e.g. Elasticsearch, MongoDB, Solr) Experience in designing enterprise APIs. Experience in RESTful ...

operations Awesome If You: Are experienced in Rust/Java/Kotlin Have experience with AWS, Apache Kafka, Kafka Streams, Apache Beam/Flink/Spark – especially deployment, monitoring & debugging Have experience with productisation of Machine Learning research projects Are familiar with Airflow or other workflow orchestration tools ...

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 ...

TensorRT-LLM, SGLang) - KV cache management, continuous batching, speculative decoding, quantization for serving. Experience building real-time video or streaming ML pipelines (Kafka, Kinesis, Flink, or similar) at scale. Background supporting CV workloads in production - model formats, GPU/accelerator tradeoffs, video codecs. Experience with model lifecycle tooling (MLflow ...

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 ...

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 ...

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 ...

knowledge of CMS ONC Interoperability, Patient Access API, PDex, NDH, and payer-to-payer exchange requirements. Experience with Confluent (Managed Connectors/Kafka), Apache Flink, or similar streaming frameworks. Exposure to Monte Carlo Data Observability or similar data quality/lineage/monitoring platforms. Familiarity with modern data lakehouse ...

Hands-on experience with Databricks Model Serving for production ML deployments Proficiency with GenAI frameworks/tools and technologies such as Apache Airflow, Spark, Flink, Kafka/Kinesis, Snowflake, and Databricks. Demonstrable experience in parameter-efficient fine-tuning, model quantization, and quantization-aware fine-tuning of LLM models Hands ...

DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming, and batch processing.o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.**Technical POCs**o Technical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirementso Design, execute and lead ...

DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming, and batch processing.o Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.**Technical POCs**o Technical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirementso Design, execute and lead ...

frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).Apply architectural patterns for data lakes, streaming, and batch processing.Exposure to cloud technologies – Snowflake, Redshift, Apache Flink and Apache Kafka.Technical POCsTechnical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirementsDesign, execute and lead POC’s involving Cloud ...