1 to 25 of 34 Permanent Amazon Athena Jobs in the UK

services that create measurable value for our clients.Key responsibilities:Build & Optimise: Manage and maintain AWS cloud infrastructure, including Lambda, IAM, S3, AWS Glue and Amazon Athena, ensuring secure, scalable and reliable operations.Automate & Deliver: Develop and maintain Infrastructure as Code using Terraform to streamline provisioning, improve consistency and reduce … Configure IAM roles, policies and permissions, applying least-privilege principles and AWS security best practices.Enable Data Solutions: Support AWS Glue ETL pipelines and use Amazon Athena and SQL to investigate data issues, support reporting and improve data processing workflows.Troubleshoot & Resolve: Investigate infrastructure issues, deployment failures, API connectivity problems ...

Kafka Streams or equivalent. Strong experience with AWS and/or Azure cloud environments. Experience with cloud services such as S3, Glue, Lambda, RDS, Athena, EC2 or Azure equivalents. Strong understanding of data platform architecture, data pipelines and distributed processing . Experience with relational and NoSQL databases . Strong ...

architectures Ability to work directly with stakeholders and translate business requirements into scalable technical solutions Desirable Experience AWS Data Services (Glue, EMR, Lambda, S3, Athena, Redshift) Streaming technologies such as Kafka or Kinesis Data modelling and metadata management AI/ML data pipelines and feature engineering Geospatial, sensor, operational ...

task orchestration Use of Python, SQL, and familiarity with PySpark Understanding of EMR and reviewing output logs Use of Jupyter notebooks and/or Amazon Athena to query and validate data Data analysis to identify root cause of issues and familiarity with basic data structures for constructing … console and services such as, but not limited to; CloudWatch, IAM, S3, Glue, ECR, EC2, EMR, Dynamo DB and LakeFormation Familiarity with Amazon Textract and Comprehend Understanding of both server-side and client-side encryption Use of GitLab for source code management pipelines for CI/CD and GitLab ...

their advantages and limitations across different use cases. Experience working with public cloud platforms , particularly AWS , including services such as EC2, RDS, Lambda, Athena, and Glue . Experience configuring and optimising Relational and NoSQL databases, including query tuning and performance optimisation. Proficiency in programming and scripting languages such ...

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

Experience supporting machine learning or AI workloads through production-grade data engineering solutions Highly Desirable Strong AWS data platform experience (S3, Glue, EMR, Redshift, Athena, Lambda, Bedrock, SageMaker or equivalent) Experience operationalising machine learning models into production environments Experience with MLOps, model deployment, model monitoring, model lifecycle management ...

data pipelines/ETL/ELT scripts Extensive experience with SQL Excellent knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDS Experience with Data Warehouse databases like Snowflake/Redshift/BigQuery Experience with Python/PySpark Experience with implementing Rest APIs. Experience with ...

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

excellence initiatives. Requirements Proven commercial experience as an AWS Data Engineer or Data Platform Engineer. Strong experience working with AWS services including S3, Glue, Athena, EMR and Lambda. Advanced SQL and Python skills. Strong data modelling expertise, including dimensional modelling and analytics-ready data design. Experience delivering ...

excellence initiatives. Requirements Proven commercial experience as an AWS Data Engineer or Data Platform Engineer. Strong experience working with AWS services including S3, Glue, Athena, EMR and Lambda. Advanced SQL and Python skills. Strong data modelling expertise, including dimensional modelling and analytics-ready data design. Experience delivering ...

role focused on building scalable, secure and high-performing solutions that support analytics, AI, and enterprise reporting. Key Skills Required AWS (S3, Glue, Redshift, Athena, Kinesis, Lambda) Data Lake & Lakehouse architectures ETL/ELT & data pipelines Python, SQL & PySpark Data modelling (Kimball, Data Vault) Data governance & security Terraform/ ...

Warehouse databases like Snowflake/Redshift/BigQueryExperience with PythonPreferably have some knowledge of AWS and components such as S3, Kinesis, DMS, SNS, Glue, Athena, RDSExperience with implementing Rest APIs.Business Intelligence (BI) knowledge/experienceKnowledge on tools like Terraform, Airflow, DBT and HarnessModern data engineering practisesThe environment is that ...

maintaining ETL/ELT pipelines Exposure to data warehousing, data lakes and modern data architecture Experience with cloud data platforms (AWS preferred - Redshift, Athena, S3, Glue. Azure accepted) Understanding of workflow orchestration and automation tools Python experience (including PySpark) is beneficial but not essential Exposure to BI platforms such ...

scripts • Python/PySpark as our Data pipelines will be built in PySpark • SQL • Knowledge of AWS and components such as S3, Glue, Athena, RDS • Experience with Data Warehouse databases like Redshift/Snowflake/BigQuery • Experience with implementing Rest APIs. • Experience with using and integrating BI tools such ...

modelsExperience designing and maintaining ETL/ELT pipelinesExposure to data warehousing, data lakes and modern data architectureExperience with cloud data platforms (AWS preferred – Redshift, Athena, S3, Glue. Azure accepted)Understanding of workflow orchestration and automation toolsPython experience (including PySpark) is beneficial but not essentialExposure to BI platforms such ...

greenfield AWS Analytics and AI platform Establishing reusable engineering patterns for future products. Build AWS lakehouse pipelines using services such as S3, Glue, Athena, Lake Formation, DMS and Step Functions Transform operational data into governed, reusable products for dashboards, APIs and customer-facing analytics Build in data quality, lineage ...

including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services Work with AWS services such as S3, Glue, Lambda, Athena and Step Functions, or Azure equivalents including Data Lake Storage Gen2, Data Factory, Synapse, Azure Functions and Logic Apps Contribute to documentation, runbooks, data ...

including formats such as parquet, avro and JSON Write efficient SQL to query, validate and optimise data across cloud-based analytical platforms such as Athena, Redshift and Azure Synapse Build scalable data processing solutions using PySpark, Python and cloud-native orchestration services Implement data quality checks, validation processes, monitoring … delivery Support the performance tuning and optimisation of data pipelines, SQL workloads and integration services Work with AWS services such as S3, Glue, Lambda, Athena and Step Functions, or Azure equivalents including Data Lake Storage Gen2, Data Factory, Synapse, Azure Functions and Logic Apps Contribute to documentation, runbooks, data ...

architectures using Delta Lake, Apache Spark, or similar open-source frameworks Familiarity with AWS-native data services such as Glue, Lake Formation, Redshift, or Athena Exposure to data governance practices including cataloging, lineage tracking, and data access control at the platform layer AWS certification(s) in cloud architecture, data ...

Backend services and APIs. Change data capture or database replication. Open table formats such as Iceberg, Delta or Hudi. AWS data services, including Glue, Athena, DMS, MWAA or RDS. Cloud security and networking, including IAM, VPCs and secrets management. Our recruitment process Our process gives us time to understand ...

from data lakes and lakehouses to real-time streaming pipelines, business intelligence, and advanced analytics leveraging the breadth of AWS's analytics portfolio including Amazon Redshift, Athena, EMR, Glue, Kinesis, QuickSight, and OpenSearch. You'll serve as a trusted technical advisor to enterprise customers navigating complex analytics modernisation … thought leadership, workshops, and reference architectures. Key job responsibilitiesArchitect analytics solutions — design data lake, lakehouse, warehouse, and streaming architectures using AWS analytics services (Redshift, Athena, EMR, Glue, Kinesis, QuickSight, OpenSearch)Lead analytics modernisation — guide customers migrating from legacy platforms (Teradata, Oracle, Netezza, Hadoop) to cloud-native analytics, including ...

exposure to the following will be good to have else we will be enable you with the required trainingAWS Glue and Data Catalog, EMR, Athena, S3, Redshift/RDS, Kafka/Spark, AWS Security, IAMOR Azure Data factory, Azure Data bricks, Azure Data Lake, Azure SQL DW & Azure ...

skills and passion for solving complex problems will be invaluable. You are proficient in SQL and Python, with experience in AWS services such as Athena, S3, Glue, and Spark, and you are adept at handling big data technologies and orchestration tools. If this sounds like ...

technology stack Python and associated ML/DS libraries (scikit-learn, NumPy, LightGBM, Pandas, LangChain/LangGraph, TensorFlow, etc.)PySparkAWS cloud infrastructure: EMR, ECS, Athena, etcMLOps/DevOps: Terraform, Docker, Airflow, MLFlowMonitoring and evaluation platforms including New Relic and BraintrustMore information: Enjoy fantastic perks like private healthcare & dental insurance ...