1 to 25 of 33 Permanent Flink Jobs

processing and performance tuning \n Hands-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) \n Strong SQL skills and experience with SQL-based transformation tooling (e.g. ...

Strong expertise in SQL, data modelling, and database optimisation (relational, vector and NoSQL).\ N\n Proficiency in distributed data processing frameworks (e.G., Spark, Flink, Hadoop).\ N\n Deep knowledge ofcloud data platforms (AWS, Azure, or GCP) and associated services.\ N\n Strong programming skills in Python, Java ...

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

cloud-based data infrastructure\ N\nPreferred qualifications, capabilities, and skills\ N\nData modeling skills\ NExperience with datastreaming and scalable processing frameworks (e.G., Spark, Flink, Beam, or similar)\ NExperience automating deployment, releases, and testing in continuous integration and continuous delivery pipelines\ NExperience with lakehouse patterns and table formats (e.G., Apache ...

data processing and performance tuning\ NHands-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)\ NStrong SQL skills and experience with SQL-based transformation tooling (e.G., dbt)\ NExperience ...

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

/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.\ N\n Proficiency in distributed data processing frameworks (e.G., Spark, Flink, Hadoop).\ N\n Experience with API management and gateway tools and services.\ N\n Experience of RESTful APIs for ingesting and exposing data. ...

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

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.\ NSolid grasp of Kubernetes, CI/CD and Terraform.\ NWorking knowledge ofETL and ELT frameworks and orchestration tools like Airflow and dbt.\ NAbility ...

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 ...

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

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 ...

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 ...

such as Snowflake or Databricks\ N\n Experience in building ML features \ N\n Any experience inreal time streaming tools and frameworks, e.G. Apache Flink, is a plus\ N\n Any experience evaluating new tools and processes to drive the adoption and usability of AI and ML ready data ...

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 ...

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 ...

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. ...

Experience in data modeling (relational databases and Apache Hadoop) Know-how of core technologies such as SQL (MS SQL Server), Apache Hadoop (Kafka, NiFi, Flink, Scala and/or Java, Python) and Linux Showing interest in working with high-frequency data processing in a near-realtime environment Wir bieten ...