1 to 25 of 140 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 ...

using streaming ingestion and delivering real time analytics, to help our clients respond to customer behaviour as it happens using Confluent, Apache Kafka, Spark, Flink or similarAbility to conduct a full technical assessment of existing platform as-is architecture and identify the to-be landscapeProviding subject matter expertise ...

including command-line administration and troubleshooting. Solid experience with SQL or data pipeline technologies, Experience with data processing frameworks such as Apache Airflow, Apache Flink or Google Dataflow, with a practical understanding of ETL pipeline design and the ability to diagnose issues across data transformation and scheduling workflows. Demonstrable ...

that power intelligent decision‐making. Key Responsibilities Data Pipeline Development Build, optimize, and maintain scalable data pipelines using Java (primary), plus exposure to Python, Flink, Kafka, or Spark. Develop and support real‐time streaming pipelines and event‐driven integrations. Integrate data from multiple sources (streaming, batch, APIs) using … engineers where needed. Qualification Core Data Engineering Strong programming proficiency in Java (preferred) or Python. 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 ...

stores).Hands-on experience building, scaling, and shipping large-scale data platforms in production.Deep practical experience with distributed data processing frameworks (e.g., Apache Spark, Flink, Hadoop).Strong expertise in message brokers and event streaming platforms (e.g., Apache Kafka, Kinesis).End-to-end exposure to data pipeline lifecycle development, including ...

bachelor's degree in a relevant field or equivalent practical experience.Useful, but not required• Event streaming or real-time processing with Kafka, Kinesis, Flink, Spark Structured Streaming, or similar technologies.• Distributed processing with Spark and familiarity with Parquet, Avro, JSON, and open table formats.• Search or retrieval systems such ...

Linux, PowerShell, Shell Scripting, HTML and CSS. Different types of database, e.g. Google Cloud Spanner, Firestore, Bigtable and BigQuery, as well as MongoDB, MySQL, Flink, Cassandra, SQL Server, Postgres. Developing schema for supporting business logic and data. Microservices architecture, including containers and serverless implementation. E.g. Kubernetes, Docker, OpenShift ...

managing real-time data pipelines across a track record of multiple initiatives. Expertise in developing data backbones using distributed streaming platforms (Kafka, Spark Streaming, Flink, etc.). Experience working with cloud platforms such as AWS, GCP, or Azure for real-time data ingestion and storage. Programming skills in Python ...

modern Data Lakehouse platforms leveraging S3-compatible object storage, Apache Iceberg, Spark, and Trino. Build real-time streaming integration using Apache Kafka and Apache Flink for low-latency event processing, enrichment, and data distribution. Drive performance engineering and scalability across data ingestion, storage, streaming, query, and analytics platforms. Design ...

consumer or marketplace environment. Deep understanding of distributed systems and modern data ecosystems — including extensive experience with Databricks, Apache Spark, Apache Kafka, Apache Flink, Apache Beam and DBT. Demonstrated success in designing, building, and operating data platforms at scale, encompassing both batch processing and real-time streaming architectures. Expertise ...

Cloud platform. You will have the opportunity to work with modern cloud-native technologies and contribute to services supporting Confluent Cloud, including Connect, Apache Flink, Kafka and more. As a software engineer, you will work closely with experienced engineers to design, develop, test and deploy reliable backend services. ...

covering ingestion, streaming, storage, processing, and analytics Architect and guide event-driven and streaming data solutions using Kafka (Confluent Platform/Confluent Cloud); Apache Flink experience is a plus Define and maintain infrastructure-as-code using Terraform, including cloud resources, networking, and platform services Contribute directly to platform components ...

blocking framework (Vert.x, SpringWebFlux, or equivalent) and asynchronous, event-driven service design. Deep experience with stream processing and event-driven architecture - Kafka Streams, Apache Flink, or equivalent - including stateful streaming, topology design, and managing local state stores (e.g.RocksDB) at scale. Proventrack recordbuilding high-throughput, low-latency systems where tail ...

large request volumes, large data volumes, or both.Deep expertise in distributed data systems: streaming (Kafka or similar), batch and ELT/ETL frameworks (Spark, Flink, dbt, Airflow or Argo Workflows), and modern lakehouse or warehouse technologies.Strong production Python experience and awareness of other relevant languages (Java/Kotlin) sufficient ...

request volumes, large data volumes, or both. Deep expertise in distributed data systems: streaming (Kafka or similar), batch and ELT/ETL frameworks (Spark, Flink, dbt, Airflow or Argo Workflows), and modern lakehouse or warehouse technologies. Strong production Python experience and awareness of other relevant languages (Java/Kotlin ...

Java/Scala and a scripting language like Python.Experience building large scale data pipelinesStrong familiarity with the Apache Hadoop ecosystem including : Spark, Kafka, Flink, Iceberg/Delta Lake/Hive, Apache Presto/Trino, etc.Experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra, DynamoDBFamiliarity with containerized ...

targeting methodologies in ad tech—understanding how data flows through the ecosystem and where privacy constraints applyPreferred: experience with real-time streaming technologies (Kafka, Flink) and familiarity with Aerospike or similar low-latency key-value stores used in high-throughput targeting systemsWhat We're Proud OfAdAge Best Places ...

targeting methodologies in ad tech—understanding how data flows through the ecosystem and where privacy constraints applyPreferred: experience with real-time streaming technologies (Kafka, Flink) and familiarity with Aerospike or similar low-latency key-value stores used in high-throughput targeting systemsWhat We're Proud OfAdAge Best Places ...

platforms such as Looker, Tableau, or Apache Superset.Understanding of software engineering best practices and their application to data processing systems.Knowledge of Python, Java or Flink is a plus, but not a necessity.Strong attention to detail.Ability to work autonomously in a fast-paced and dynamic environment.Strong communication and interpersonal skills.Additional ...

Looker, Tableau, or Apache Superset. Understanding of software engineering best practices and their application to data processing systems. Knowledge of Python, Java or Flink is a plus, but not a necessity. Strong attention to detail. Ability to work autonomously in a fast-paced and dynamic environment. Strong communication ...

Boot, REST APIs and microservices Experience with a relational database like MS SQL Server, PostgreSQL, Sybase ASE Experience with Streaming technologies like Kafka, Apache Flink Experience with cloud technologies, such as Microsoft Azure Experience with Agile process Experience with DevOps and tools like Azure DevOps Our benefits To help ...

development. Proficiency in SQL and programming languages such as Python, Java, or Scala. Hands‐on experience with big data frameworks (e.g., Spark, Hadoop, Flink) and cloud platforms (AWS, GCP, or Azure). Familiarity with data warehouse technologies (e.g., Snowflake, Redshift, BigQuery) and workflow orchestration tools (e.g., Airflow, Luigi). ...

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 ...

Looking ForStrong commercial experience in data engineering and modern data platforms.Advanced programming skills in Java or Python.Expertise working with technologies such as Kafka, Spark, Flink or similar distributed data frameworks.Experience delivering solutions within AWS or other major cloud platforms.Strong understanding of data architecture, scalability and performance optimisation.Experience working with ...

Cursor, or AI-assisted coding CLI workflows) to accelerate code generation, refactoring, and daily execution. Message-Driven Architecture: Hands-on experience with Kafka, Apache Flink, or equivalent real-time event-streaming platforms. Containers & Data: Proficiency with Docker, Kubernetes, and relational databases (MS SQL, Sybase). Delivery Automation & Monitoring: Strong ...