16 of 16 Permanent Flink Jobs

data processing and performance tuning 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) Strong SQL skills and experience with SQL-based transformation tooling (e.g., dbt) Experience ...

Python programming. AWS, Azure, or GCP; Redshift, AWS Glue, Azure Synapse, Azure Data Factory, BigQuery, Dataflow, Databricks, or Snowflake. Apache Kafka, Amazon Kinesis, Apache Flink, or Spark Structured Streaming. Data modeling, data vault, lakehouse, and data mesh architecture. Data quality, catalogs, lineage, API design, data contracts, and event-driven ...

modelling: designing schemas and storage for relational databases, warehouses or lakehouses, and understanding when each fits. Distributed processing: working with systems such as Spark, Flink or Beam, including how partitioning, parallelism, skew, memory, failures and ordering affect results. Platform experience Cloud and infrastructure as code: building infrastructure with tools ...

containerisation and orchestration technologies including Kubernetes, Docker, ECS, EKS, and AKS . Experience working with distributed event-streaming technologies such as Kafka and Apache Flink . Strong troubleshooting skills with the ability to resolve complex technical and operational issues. Proven ability to lead, mentor, and develop engineers within Agile ...

design sessions Confidence communicating with technical and non-technical stakeholders, and challenging constructively Desirable: SQL Server or on-prem to cloud migration, Apache Flink, regulated industry experience If you'd rather shape a platform than inherit a finished one, and want a seat at the table while ...

design sessions Confidence communicating with technical and non-technical stakeholders, and challenging constructively Desirable: SQL Server or on-prem to cloud migration, Apache Flink, regulated industry experience If you'd rather shape a platform than inherit a finished one, and want a seat at the table while ...

complete data platforms rather than solely delivering individual components. Youll need experience across: Batch data processing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. AWS data services, including S3, Lambda, Glue, Athena, Kinesis and RDS. Infrastructure as code using Terraform. CI/CD and automated ...

. Build and maintain platform capabilities supporting batch and real-time data workloads . Develop and operate distributed data services using Kafka, Kinesis, Spark, Flink or equivalent technologies . Build and maintain cloud-native data platform capabilities using AWS and/or Azure . Support data ingestion, processing, storage … experience with real-time streaming and event-driven architectures , including Kafka, Kinesis or equivalent. Experience with distributed data processing technologies such as Spark, Flink, Kafka Streams or equivalent. Strong experience with AWS and/or Azure cloud environments. Experience with cloud services such as S3, Glue, Lambda, RDS, Athena ...

when existing technology should be evolved or replaced. Your experience should include: Batch processing, data warehousing, ELT and orchestration. Modern streaming technologies such as Flink or comparable platforms. Production AWS data engineering. AWS services including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table ...

leakage, transaction costs and changing market conditions. For the Developer track: Experience with streaming systems, real-time data pipelines, or event-driven architectures (Kafka, Flink, Redis etc.) Experience with testing, monitoring, and debugging complex systems under load Strong experience with microservices, databases, and production infrastructure We’re people without ...

Companys hybrid work from home policy. Qualifications Commercial GCP background including BigQuery, Dataform and GCS Knowledge of Data Lake technologies such as Airflow, Kafka, Flink and Python Relational set-based processing through complex SQL queries Proven ability to leverage AI within a production workflow Background working within a Data ...

hybrid work from home policy. Qualifications Commercial experience with web client or server-side development Proficiency with Golang, TypeScript, React, SQL, Kafka or Apache Flink Background delivering software in continuous change environments Familiarity with AI tools to enhance developer productivity Clear technical communication with cross-functional stakeholders Proven grasp ...

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 • 3–5 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 ...

Hiring: Senior Data Engineer US Citizens Only Location: Richmond, VA (within 50 miles preferred) Work Arrangement: Hybrid Alternating schedule Week 1: 5 days onsite in Richmond Week 2: Remote This schedule repeats throughout the assignment. ...

models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. \n Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing frameworks. \n Ensure all solutions comply with industry best practices, governance frameworks, and regulatory requirements, maintaining the highest standards … Lambda, Redshift , and related data services. \n Proven experience designing secure architectures within sensitive or highly regulated environments. \n Hands-on experience with Apache Flink and real-time data processing architectures. \n Strong understanding of data modelling methodologies, architectural patterns, and industry standards. \n Expertise across ETL processes, data ...

data models, ETL pipelines, metadata frameworks, and modern data warehousing solutions. Design and optimise large-scale streaming data platforms using technologies such as Apache Flink and other real-time processing frameworks. Ensure all solutions comply with industry best practices, governance frameworks, and regulatory requirements, maintaining the highest standards … Lambda, Redshift , and related data services. Proven experience designing secure architectures within sensitive or highly regulated environments. Hands-on experience with Apache Flink and real-time data processing architectures. Strong understanding of data modelling methodologies, architectural patterns, and industry standards. Expertise across ETL processes, data integration, data warehousing, distributed ...