1 to 25 of 44 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 ...

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 ...

preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python ...

preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python ...

preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python ...

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 ...

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 ...

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 ...

operational data stores, event streaming platforms, and real-time data pipelines. Architect and document solutions using technologies such as Hive, Impala, HBase, Spark, NiFi, Flink, Kafka, and equivalent AWS services. Design Kafka-based streaming applications, including event ingestion, topic design, consumer patterns, error handling, replay, scalability, and resilience. Define … similar Spark/Spark Streaming HBase/Cassandra/NoSQL data stores Hive/Impala Apache NiFi/ingestion frameworks Apache Airflow Orchestrations Apache Flink or equivalent stream processing technologies Java/Spring Boot/Spring Kafka Python and PySpark REST APIs and service-based data consumption Change Data ...

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 ...

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 ...