1 to 25 of 35 Permanent Flink Jobs

distributed data processing and performance tuningHands-on experience with modern data warehousing/lakehouse technologies (e.g., Redshift, BigQuery, Snowflake; and engines such as Spark, Flink, or Trino; and table formats such as Iceberg, Hudi, or similar)Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt)Experience ...

platforms. Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL). Proficiency in distributed data processing frameworks (e.g., Spark, Flink, Hadoop). Deep knowledge of cloud data platforms (AWS, Azure, or GCP) and associated services. Strong programming skills in Python, Java, or Scala for data ...

based data infrastructure\n Preferred qualifications, capabilities, and skills \n \n Data modeling skills \nExperience with data streaming and scalable processing frameworks (e.g., Spark, Flink, Beam, or similar)Experience automating deployment, releases, and testing in continuous integration and continuous delivery pipelinesExperience with lakehouse patterns and table formats (e.g., Apache ...

making. \n Key Responsibilities \n Data Pipeline Development \n \n Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. \n Develop and support real‐time streaming pipelines and event‐driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using … Core Data Engineering \n \n Strong programming proficiency in Java (preferred) or Python. \n Hands-on experience with at least one of: Kafka, Flink, Spark (Flink/Kafka preferred for streaming). Solid understanding of stream processing concepts (e.g., event time, state, backpressure). Understanding of software engineering ...

/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 ...

/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 ...

environments AWS SageMaker Experience with YOLO, OWL, SAM, VLMs, or similar computer vision models Stream processing frameworks such as Spark Streaming, Kafka Streams, or Flink Experience supporting high-visibility, performance-critical systems Experience handling sensitive data with strong security and access controls Java experience Required Education Bachelor's degree ...

with proficiency in SQL. \nExperience building data platforms on cloud services like Databricks on Azure or GCP BigQuery and big data technologies like Spark, Flink etc.Solid grasp of Kubernetes, CI/CD and Terraform.Working knowledge of ETL and ELT frameworks and orchestration tools like Airflow and dbt.Ability to provide ...

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 ...

Python systems \n 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 ...

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 ...

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 ...

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 ...

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 ...

cloud data warehouses such as Snowflake or Databricks Experience in building ML features Any experience in real time streaming tools and frameworks, e.g. Apache Flink, is a plus Any experience evaluating new tools and processes to drive the adoption and usability of AI and ML ready data Familiarity with ...

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 ...

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 ...

engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to‐end system design: from feature stores ...

Dagster Cloud platforms: AWS, GCP, or Azure Docker & Kubernetes Microsoft 365 & Microsoft Copilot Desirable Skills Vector databases and embedding pipelines Real-time streaming (Kafka, Flink) RPA tooling (UiPath, Power Automate) dbt for data transformation Claude Code, Claude Cowork, or Claude Skills Experience with vector databases, real-time streaming (Kafka … Flink), or RPA tooling (UiPath, Power Automate). Experience 35 years in software or data engineering with strong exposure to system integrations, data pipelines, and production infrastructure. Strong Python and SQL skills; experienced building robust, production-grade data pipelines from scratch. Deep familiarity with integration patterns: REST APIs, webhooks ...