1 to 25 of 35 Flink Jobs

should have: Strong programming experience in Java (preferred) or Python Experience building ETL/ELT or streaming data pipelines Hands-on experience with Kafka, Flink, or Spark (streaming experience preferred) Good understanding of stream-processing concepts (event time, state, backpressure) Experience with cloud platforms (AWS preferred; Azure ...

GitHub Actions, etc.) Data Engineering & Big Data Technologies Experience working with large-scale datasets and distributed processing frameworks such as: Apache Spark, Hadoop, or Flink Familiarity with data streaming technologies (Kafka, Kinesis) Experience with databases: Relational: PostgreSQL, MySQL NoSQL: MongoDB, Elasticsearch, DynamoDB Cloud & MLOps Hands-on experience with Amazon ...

Nice to Have * Financial markets data - market data feeds (Bloomberg, Refinitiv), tick data, trade history, reference data, or instrument master management * Apache Spark or Flink for large-scale stream and batch processing beyond the Databricks ecosystem * dbt or equivalent SQL transformation layer; experience building and maintaining dbt projects ...

concepts to varied audiences. Nice to Have Cloud experience: AWS/Azure/GCP . Containerisation: Docker, Kubernetes . Distributed processing: Apache Spark/Flink . Please apply within for further details - Matthew Holmes, Harvey Nash To From Record Yes No Always use these settings ...

everything from data ingestion through to deployment. What youll be working with: Java (primary language) for data pipeline development Streaming tools like Kafka/Flink/Spark AWS (Kinesis, Lambda, Glue) CI/CD, Terraform, Docker & Kubernetes What were looking for from you: 3+ years in data engineering ...

Practical experience with AWS (S3, Redshift, Kinesis) and GCP (BigQuery, Pub/Sub). Familiarity with streaming platforms and real-time processing (Kafka, Spark, Flink). Understanding of data governance tools and frameworks (Collibra, Apache Atlas, GDPR, HIPAA). Knowledge of encryption standards and key management ...

both engineering and non-technical stakeholders. NICE TO HAVE: C# or other strongly-typed backend language experience. Data pipeline experience (Apache Airflow, Apache Flink, Kafka, or similar). Workflow/orchestration engine experience (Temporal.io, Conductor, or similar). Figma familiarity - able to work directly from design files without handoff ...

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 ...

reason about computational complexity and system behavior under constraints. Experience building and operating real-time or streaming data systems (e.g., Redis Streams, Kafka, Pulsar, Flink). Experience with scientific/numerical Python libraries (NumPy, SciPy, Pandas), GCP (or comparable cloud infrastructure), containerization (Docker/Kubernetes), and Infrastructure as Code ...

Hands-on experience with Kubernetes , Docker, Terraform, and CI/CD tools like Jenkins or GitHub Actions. Data & Messaging: Expert knowledge of Kafka , Apache Flink, PostgreSQL, Oracle, and Elasticsearch. Security: Deep understanding of OAuth 2.0, secure web services, and API gateway management. Candidate Profile Enterprise Experience: Proven track record ...

adjacent ML-powered features (ranking, personalization, search, or similar). Experience with big data frameworks such as Apache Spark (or similar technologies like Flink, Beam, etc.) for architecting and building complex batch or streaming pipelines. Experience in AI/ML systems and products, such as integrating models into production ...

solid understanding of ML concepts. Primary Responsibilities Consortium Data Engineering Architect and maintain high-throughput data pipelines (using technologies such as Spark, Kafka, or Flink) to ingest, process, and aggregate real-time signals-such as device fingerprints and behavioral biometrics-into our central intelligence graph. High-Scale System Design ...

analytical data modeling in BigQuery using dbt . Build reliable data pipelines utilizing SQL, Python, and distributed processing frameworks (Apache Spark, Scio, Beam, or Flink). Develop clear, story-driven dashboards using tools like Looker or Tableau . Champion data quality , implement CI/CD for dbt models ...

observability data including logs, metrics, traces, and operational events Implementing real-time data processing systems using technologies such as Kafka, Kinesis, Pub/Sub, Flink, or similar streaming platforms Scaling streaming infrastructure to support high-throughput telemetry ingestion, high-cardinality workloads, and bursty infrastructure traffic patterns Ensuring streaming systems ...

high quality code, and operate large scale systems in a production environment. Team Tech Stack AWS Python Terraform Kubernetes Clickhouse DynamoDB MySQL Kafka Spark Flink Iceberg Airflow Required Skills Degree or equivalent experience in a software engineering discipline Proficient in using at least one modern programming language Able ...

Flask , Desired Skills Experience with Machine Learning or data analytics (streaming or batch) Containerization: Docker, Kubernetes Cloud platforms (AWS or similar) Streaming technologies: Kafka, Flink Databases: MongoDB, PostgreSQL, Redis, ArangoDB Search technologies: ElasticSearch , About Tensley Consulting, Inc. About Tensley Tensley Consulting is a Service-Disabled Veteran-Owned Small Business ...

frameworks (PyTorch, scikit-learn) and data tools (SQL, Spark, dbt). Experience with real-time systems, event-driven architectures, or streaming platforms (Kafka, Flink, Kinesis). A customer-obsessed mindset. You naturally think about how your technical decisions affect the end user and make trade-offs that protect ...

frameworks (PyTorch, scikit-learn) and data tools (SQL, Spark, dbt). Experience with real-time systems, event-driven architectures, or streaming platforms (Kafka, Flink, Kinesis). A customer-obsessed mindset. You naturally think about how your technical decisions affect the end user and make trade-offs that protect ...

looking for: Experience building the infrastructure for large-scale data processing pipelines (both batch and streaming) using tools like Spark, Kafka, Apache Flink, and Apache Beam. Experience designing and implementing large-scale data storage systems (feature store, timeseries DBs) for ML use cases. Strong familiarity with relational databases, data ...

data pipelines with many upstream sources and downstream consumers Computer Science Degree, or equivalent experience Preferred Qualifications Experience with Airflow, Dagster, Spark, Iceberg, Trino, Flink, or similar data infrastructure Familiarity with ML infrastructure patterns (feature stores, model serving, experiment tracking) Python Fluency Compensation The base salary range for this ...

data pipelines with many upstream sources and downstream consumers Computer Science Degree, or equivalent experience Preferred Qualifications Experience with Airflow, Dagster, Spark, Iceberg, Trino, Flink, or similar data infrastructure Familiarity with ML infrastructure patterns (feature stores, model serving, experiment tracking) Python Fluency Compensation The base salary range for this ...

data pipelines with many upstream sources and downstream consumers Computer Science Degree, or equivalent experience Preferred Qualifications Experience with Airflow, Dagster, Spark, Iceberg, Trino, Flink, or similar data infrastructure Familiarity with ML infrastructure patterns (feature stores, model serving, experiment tracking) Python Fluency Compensation The base salary range for this ...

data pipelines with many upstream sources and downstream consumers Computer Science Degree, or equivalent experience Preferred Qualifications Experience with Airflow, Dagster, Spark, Iceberg, Trino, Flink, or similar data infrastructure Familiarity with ML infrastructure patterns (feature stores, model serving, experiment tracking) Python Fluency Compensation The base salary range for this ...

subsystems that require high availability, low-latency, & strong data consistency computing. Experience with Big Data and analytics in general leveraging technologies like Hadoop, Spark, Flink and MapReduce. Experience developing proper metrics instrumentation in software components, to help facilitate real-time and remote troubleshooting/performance monitoring. Additional Information Work ...

high quality code, create infrastructure, and operate large scale systems in a production environment. Team Tech Stack AWS Python Kubernetes MySQL Clickhouse Kafka Spark Flink Iceberg Terraform Airflow Required Skills Degree or equivalent experience in a software engineering discipline 2+ years of experience in a software engineering discipline Proficient ...