51 to 75 of 109 Permanent Amazon Kinesis Jobs

within a large enterprise* Solution architecture across Snowflake, DBT and SqlDBM, including data modelling and schema design* AWS architecture, including EC2, RDS, databases, SQS, Kinesis, S3 and Lambda, plus familiarity with Azure* Experience with real-time ingestion, streaming and processing technologies, API design, graph databases, and AI-enabled solutions ...

Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality. Good working experience of AWS (e.g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e.g. ADF, Synapse, Fabric, Azure Functions). Desirable Skills Working experience in Data ...

regulatory and compliance reporting pipelines where relevant to a client's sector Working with cloud data services (e.g. S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA, or their equivalents on other platforms) — selecting the right tool for each problem rather than defaulting ...

regulatory and compliance reporting pipelines where relevant to a client's sector Working with cloud data services (e.g. S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA, or their equivalents on other platforms) — selecting the right tool for each problem rather than defaulting ...

regulatory and compliance reporting pipelines where relevant to a client's sector Working with cloud data services (e.g. S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA, or their equivalents on other platforms) — selecting the right tool for each problem rather than defaulting ...

regulatory and compliance reporting pipelines where relevant to a client's sector Working with cloud data services (e.g. S3, Glue, Lambda, Athena, Redshift, RDS, Kinesis, MSK, Lake Formation, Step Functions, MWAA, or their equivalents on other platforms) — selecting the right tool for each problem rather than defaulting ...

components . 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 … . Strong programming experience using Java and/or Python . Hands-on 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 ...

management. Experience in developing data analytics and AI-driven solutions. Skilled in designing and automating data quality metrics and KPIs. Proficient with AWS (S3, Kinesis, Glue, Redshift, Lambda, EMR) and/or Azure (ADF, Synapse, Fabric, Functions). #J-18808-Ljbffr ...

application Experience with contextual bandits, off-policy evaluation and learning torank models Experience with AWS technologies such as CDK, Redshift, S3, AWS Glue,Sagemaker, Kinesis, FireHose, Lambda, and IAM roles and permissions. Preferredqualifications: Experience using Unix/Linux Experience in professional software development Experience working within an Agile environment ...

test scripts. Deploy and support containerised RF signal processing workloads on AWS EKS or GCP GKE. Contribute to cloud RF data pipelines using AWS Kinesis/GCP Pub/Sub and post-pass analysis via Athena/BigQuery. Apply AI/ML tools to engineering workflows: LLMs for documentation ...

test scripts. Deploy and support containerised RF signal processing workloads on AWS EKS or GCP GKE. Contribute to cloud RF data pipelines using AWS Kinesis/GCP Pub/Sub and post-pass analysis via Athena/BigQuery. Apply AI/ML tools to engineering workflows: LLMs for documentation ...

level hands-on data engineering experience Excellent communication and leadership skills: with the ability to initiate and drive projects proactively Strong AWS knowledge, including Kinesis, Athena, S3, etc. Extensive data warehousing experience, Snowflake, Redshift etc. Experience with Airflow or a similar ETL tool, Python experience and data modelling knowledge ...

scale implementations of cloud-native data platforms such as Databricks and Snowflake Good understanding of AWS data analytics services, including Redshift, EMR, Glue, Athena, Kinesis, Lake Formation, MSK, and S3 data lake patterns, with demonstrated experience architecting end-to-end data solutions Experience navigating complex data governance, security ...

experience of build tools - Maven and Gradle Knowledge and experience of relational DBMS - Postgresdb Knowledge of using AWS services via Terraform - Secrets Manager, Kinesis Firehose, S3, Open Search etc Knowledge and experience of configuring and using New Relic, Kibana for observing metrics and configuring alerts. Knowledge and experience ...

date with the latest industry technologies and standards Must have hands-on experience developing cloud-native applications using services like AWS S3, SQS, Kinesis, Graph DB, OpenSearch/Elasticsearch or equivalent services on other cloud platforms such as GCP Taking initiative, learning quickly, and adapting to shifting priorities, while ...

user behavior. Utilise our extensive data infrastructure to uncover insights that drive the AI product roadmap forward. Tech Stack Includes: AWS: EC2, Athena, S3, Kinesis, Lambda, Step Functions, RDS, QuickSight Languages & Frameworks: Python, Spark, TensorFlow, LLMs & LLM coding tools Databases & Search: MySQL, PostgreSQL, SOLR Experience: Minimum 3 years ...

end. Technical Proficiency: Strong experience with Python for building backend services and data pipelines. Familiarity with AWS services (e.g. S3, RDS/Postgres, Kinesis, ECS, Lambda) and infrastructure tooling (Terraform). Data Ingestion: Experience designing pipelines that handle varied, schema-evolving, high-volume payloads reliably and at scale — including ...

. Familiarity with AI/ML workflows and their data requirements. Experience with API specifications and data integrations acrossETL and streaming services ( Glue, MSK, Kinesis, Kafka ) Familiarity with AI developer tools like Cursor and GitHub Copilot and desire to use them to 10x your throughput. Collaborative approach and excellent ...

data Have exposure to at least one cloud platform (AWS, Azure or GCP) and experience of associated technologies (for example with AWS: DynamoDB, Redshift, Kinesis Pipelines, Glue, Lambda, QuickSight, etc) Have experience with DataOps concepts Why join AND Digital? We have three core values: wonder, share, and delight. These ...

strong operational ownership. TECH STACK Backend: Node.js/TypeScript on AWS — serverless services using Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EventBridge and Kinesis, alongside containerised workloads where needed Frontend: React Native/Expo/React/Next.js Infrastructure: Terraform, GitHub Actions CI/CD, Docker Observability: Datadog, Grafana ...

design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB), GraphQL and modern data warehouse tools including Snowflake and DataBricks Ability to think strategically and relate architectural ...

data engineering, distributed systems, MLOps, or infrastructure ML roles in production environments. Proven experience building high-throughput streaming or telemetry pipelines (e.g., Kafka, Pulsar, Kinesis, or equivalent). Strong experience designing time-series feature pipelines and operating large-scale observability systems. Experience building and maintaining feature stores and ensuring ...

Finance to deliver timely, consistent, high-quality analytics. You will help strengthen reliability, governance, and performance across enterprise data platforms, including Databricks and Amazon Redshift. As a Senior Lead Software Engineer at JPMorgan Chase in the Risk Central team, you will be a senior hands-on engineer and technical … with a strong focus on operational excellence and predictable outcomes. You will design and evolve data products and workflows that run across Databricks and Amazon Redshift, improving consistency, controls, and performance. You will mentor engineers, drive engineering best practices, and communicate clearly on progress, risks, dependencies, and trade-offs. ...

Finance to deliver timely, consistent, high-quality analytics. You will help strengthen reliability, governance, and performance across enterprise data platforms, including Databricks and Amazon Redshift. As a Senior Lead Software Engineer at JPMorgan Chase in the Risk Central team, you will be a senior hands-on engineer and technical … with a strong focus on operational excellence and predictable outcomes. You will design and evolve data products and workflows that run across Databricks and Amazon Redshift, improving consistency, controls, and performance. You will mentor engineers, drive engineering best practices, and communicate clearly on progress, risks, dependencies, and trade-offs. ...

At FDJ UNITED, we don't just follow the game, we reinvent it. FDJ UNITED is one of Europe’s leading betting and gaming operators, with a vast portfolio of iconic brands and a reputation ...