1 to 25 of 94 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 ...

contribute to engineering best practices Skills & Experience * 3+ years' commercial experience in Data Engineering * Strong Java or Python development skills * Experience with Kafka, Flink or Spark * Experience building ETL/ELT or streaming data pipelines * Knowledge of AWS (Azure or GCP also considered) * Experience with Docker, Kubernetes ...

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 ...

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, AWS Lambda, Cloud ...

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 ...

experience with Python, SQL and modern software engineering practices. Experience building large-scale batch and streaming data solutions using technologies such as Spark, Kafka, Flink, Beam or equivalent. Deep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platforms. Strong understanding of analytical data modelling, dimensional ...

experience with Python, SQL and modern software engineering practices.Experience building large-scale batch and streaming data solutions using technologies such as Spark, Kafka, Flink, Beam or equivalent.Deep knowledge of modern data architectures including data warehouses, data lakes and lakehouse platforms.Strong understanding of analytical data modelling, dimensional modelling, semantic modelling ...

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 ...

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 ...

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 ...

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 ...

Confluent Platform Deep knowledge of Kafka internals & KRaft architecture Experience with Confluent Cloud, stream governance, RBAC, and data lineage Expertise in stream processing (Apache Flink, Kafka Streams, ksqlDB) Strong Java, Python, or Scala skills Hands-on experience with AWS/GCP/Azure & Kubernetes CI/CD & infrastructure automation ...

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 ...

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 systemsOur LaurelsAdAge Best Places to Work ThinkLA Partner ...

microservices and REST APIs • AWS, including Lambda • Kafka and distributed streaming • Databricks for data processing • SQL and NoSQL databases • Docker and Kubernetes Spark/Flink, Python, CI/CD, Datadog or Prometheus experience is a strong advantage. Interested and can start ASAP, please apply. ...

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. ...

Python. Proven experience designing and building distributed systems and APIs at scale. Hands‐on experience with real‐time data processing frameworks (e.g. Kafka, Flink, Spark Streaming, Pulsar). Experience working with cloud platforms (AWS, GCP, or Azure) and containerisation/orchestration (Docker, Kubernetes). Strong understanding of data modelling ...

ArgoCD, Prometheus, Grafana and OpenTelemetryStrong problem-solving skills and a systematic approach to diagnosing and resolving issuesHighly desirable skillsExperience with streaming frameworks such as Flink, Kafka Streams and Kafka ConnectKnowledge of modern data lake technologies including Delta Lake, Iceberg and Glue Data CatalogExposure to DataOps practices and collaboration with ...

production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool ...

production, providing subject matter expertise on the .Net stack and contributing to technical design discussions. You'll use a range of technology including Apache Flink with Java for large scale data processing and will be able to assess and recommend new and emerging technologies, using the best tool ...

production-grade code Distributed Data Processing Experience building and operating: batch processing systems distributed data systems near real-time streaming pipelines Familiarity with: Kafka Flink Spark Databricks experience is a strong plus Databases & Data Warehousing Comfortable working with: RDBMS data warehousing solutions Strong understanding of data modelling aligned with ...

Python. Experience managing batching and/or streaming data pipelines and infrastructure using technologies such as GCP, Dataflow/Apache Beam, Dataproc, Spark/Flink, dbt; Working knowledge of SQL and shell scripting; Experience with Docker/k8s and “infrastructure as a code” tools such as Terraform, Salt ...