1 to 25 of 26 Permanent Flink Jobs

based languages (Java, Kotlin), ideally combined with Python and experience in Spring Boot Solid understanding of data engineering tools and frameworks, like Spark, Flink, Kafka, dbt, Trino, and Airflow. Hands-on experience with cloud environments (AWS, GCP, or Azure), infrastructure-as-code practices, and ideally container orchestration with Kubernetes. ...

Cloud, DevOps & Infrastructure Kubernetes (GKE/IKP/AWS EKS) Docker, Terraform CI/CD: GitHub Actions, Jenkins Messaging, Streaming & ETL Apache Kafka Apache Flink, Apache Beam Redis Databases PostgreSQL Oracle MongoDB Security & Compliance OAuth 2.0, Okta Enterprise security scanning: Checkmarx, Aqua Security Strong understanding of banking-grade security ...

/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 ...

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 ...

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/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 ...

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 ...

least one of Python, Java, or C++. Solid understanding of microservice development, model inference acceleration, real‐time data processing, and big data technologies (e.g., Flink, Kafka, Spark). Excellent analytical and problem‐solving abilities, with a track record of quickly identifying and resolving technical issues in production. Alignment with ...

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 ...

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 ...

migration strategies for enterprise clients (parallel runs, phased cutovers). Modernize data architecture to support real-time streaming and graph-based modeling (Kafka, Flink) and unified analytics for operations and ML training. Transition release management from quarterly waterfall to continuous deployment with feature flags while protecting enterprise stability. Strategic … tenant isolation, Kubernetes/container orchestration, serverless patterns. Working knowledge of cloud data platforms (Snowflake, Databricks, BigQuery, Azure Synapse) and real-time streaming (Kafka, Flink, Spark Streaming). Familiarity with generative AI patterns (LLM fine-tuning, RAG, prompt engineering, function calling, agent frameworks) and graph/knowledge graph technologies. ...

distributed systems, so having that experience of working within a data-driven environment would be beneficial. Being familiar with tools such as Kafka or Flink as well as big data processing and data analysis skills would help here. Strong communication skills are essential as you’ll be working closely ...

strong focus on cost efficiency, scalability, and operational excellence. Key Responsibilities Design and build scalable, real-time data processing systems using technologies like Apache Flink, Kafka. Develop high-quality, maintainable code for Apache Flink (Java) data processing and .NET APIs. Lead and contribute to collaborative system design, while … What We're Looking For Excellent collaboration and communication skills. Strong experience in distributed systems and event-driven architectures. Hands-on experience with: Apache Flink (or similar stream processing frameworks) Kafka or other messaging systems. Strong Proficiency in .NET or Java. Experience building systems that are highly observable ...

processes, and performance. Responsibilities Developing ELT/ETL pipelines to ingest and transform datasets with Python, Snowflake and dbt. Building a streaming platform (Kafka, Flink, Iceberg) to capture and aggregate large volumes of tick data. Consolidating legacy systems onto a next-generation cloud-native technology stack. Working closely with … Docker. AWS experience preferred. An excellent communicator, ability to communicate clearly with technical and non-technical colleagues. Skills in Java and/or Kafka, Flink and Iceberg preferred. Cloud Data Warehousing experience preferred, especially using Snowflake. Financial experience – especially in relation to Buy Side, Electronic Trading and Market Data ...

design docs, debugging production systems, and making architectural decisions alongside your team. Deep experience with large-scale data processing and distributed systems (e.g., Spark, Flink, Databricks, Airflow, or similar). You can evaluate trade-offs, not just delegate them. A track record of leading multiple high-performing engineering teams … graph algorithms, or large-scale clustering problems. Familiarity with cost optimization for high-throughput data pipelines. Technologies we use: AWS serverless architectures Kubernetes Spark Flink Java Python Databricks RisingWave Parquet, Iceberg, Delta, Paimon Terraform GitHub AI at Chainalysis AI is not a feature at Chainalysis ...

tooling to create pipelines that are used for real time decision making in the milliseconds range. Some of the technologies we use: Apache Flink Apache Iceberg K8s operators Kafka Streams What do you need? We are fully aware that it is uncommon for a candidate to have all skills … have some of those listed below and are eager to learn more we do want to hear from you! Experience with Flink and/or Kafka Streams Experience building production code with Java and Spring. Experience with infrastructure automation tools. Experience building and operating distributed systems at scale. Interested ...

teams, ensuring best practices in data architecture, security, and cloud computingProficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systemsUtilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput dataEnsure all data solutions comply with industry … Lambda, and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plusIn-depth knowledge and hands-on experience with Apache Flink for real-time data processingProven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environmentStrong ability to engage ...

best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with … Lambda, and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands-on experience with Apache Flink for real-time data processing Proven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environment Strong ...

best practices in data architecture, security, and cloud computing Proficiency in data modelling, ETL processes, data warehousing, distributed systems and metadata systems Utilise Apache Flink and other streaming technologies to build real-time data processing systems that handle large-scale, high-throughput data Ensure all data solutions comply with … Lambda, and Redshift. Experience with other cloud providers (e.g., Azure, GCP) is a plus In-depth knowledge and hands-on experience with Apache Flink for real-time data processing Proven experience in mentoring and managing teams, with a focus on developing talent and fostering a collaborative work environment Strong ...