8 of 8 Amazon Kinesis Jobs in the North West

including data pipelines, ETL/ELT processes, and data integration frameworks. Develop andoptimizedata architectures using AWS services such as S3, Glue, Lambda, Redshift, Kinesis, EMR, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Ensure solutions follow AWS best practices for security, performance … llbring Considerable experiencein data engineeringfocused on AWS data platforms and services. Strong hands-on experience withAWS data servicesincluding S3, Glue, Lambda, Redshift, Athena, EMR, Kinesis, Amazon OpenSearch Service, and graph databases such as Amazon Neptune, and related technologies. Proficiencyin programming languages such asPythonandSQL fordata processing and transformation. ...

source-code management. Strong troubleshooting and problem-solving skills. AWS Experience Candidates should have practical experience with relevant AWS data services, such as: Amazon S3 AWS Glue Amazon Redshift AWS Lambda Amazon Athena Amazon RDS AWS IAM Amazon CloudWatch Experience with services such as Kinesis, EMR, Step Functions or MWAA/Airflow would be advantageous. AWS data engineering roles commonly use services such as S3, Glue, Redshift, Lambda, Kinesis and IAM for data platforms and pipelines. Power BI Experience Power BI Desktop and Power BI Service. Dashboard and report development. Data modelling ...

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 testing. Lakehouse architecture and open table formats such as Iceberg. Medallion architecture ...

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 formats such as Iceberg. Medallion-style data layering and dimensional modelling. Strong SQL and Python ...

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 ...

ingestion on Cribl — routing, filtering, normalisation, and enrichment at the edge. Optimisation: reduce volume via deduplication, trimming, and NetFlow summarisation; manage streaming/storage (Kinesis, S3, Amazon Security Lake). Standards: apply hot/warm/cold data tiering; normalise into OCSF; enforce encryption and least-privilege access. … Knowledge & Expertise Hands-on cloud security experience — AWS, Azure, or GCP. Either: Advanced Splunk (SPL); YARA, and EDR detection logic. or Experience with Cribl, Kinesis, S3, Amazon Security Lake, and OCSF/data normalisation. Strong grasp of Zero Trust, identity-first security, secrets management, and network segmentation. Experience ...

Software Engineering, Agentic & AI Development (30%): Solid software engineer principles (pipelines, toolsets, testing, linting, vulnerability scanning, etc.) Production‐level experience with tools such as Amazon Bedrock, AWS AgentCore, Azure AI Studio, LangChain, and writing automation scripts or custom AI agents using node or python. Data Engineering (30%): Experience deploying … maintaining data orchestration toolsets (e.g., dbt, Apache Airflow), ETL/ELT methodologies, real‐time streaming (e.g., AWS Kinesis, Apache Kafka), Vector databases, and RAG architectures. Observability & FinOps: Experience implementing modern observability tooling (OpenTelemetry) alongside automated cost‐control systems (such as Karpenter, Infracost, OpenCost, or Cloud Custodian). Domain & Sector ...

trimming bulk data to remove unnecessary payloads, deduplicating identical logs, and pre-parsing complex regex strings. Storage Architecture: Manage real‐time streaming technologies (e.g., Kinesis) and security data storage solutions including S3 buckets and Amazon Security Lake. Data Tiering: Support the classification of data into appropriate storage tiers … Cloud Platform. SIEM & Detection: Experience in supporting analysts in the creation of Splunk (SPL) detection rules. Data Tools & Protocols: Hands‐on experience with Cribl, Kinesis, S3 buckets, and SQS Queues. Understanding of OCSF schemas and data normalisation. Security Controls: Deep understanding of Zero Trust, identity‐first security, secrets management ...