1 to 25 of 89 Amazon Athena Jobs in the UK

that address complex business requirements and drive decision-making. Your skills and experience Proficiency with AWS Tools: Demonstrable experience using AWS Glue, AWS Lambda, Amazon Kinesis, Amazon EMR , Amazon Athena, Amazon DynamoDB, Amazon Cloudwatch, Amazon SNS and AWS Step Functions. Programming Skills: Strong More ❯

Develop new tools and infrastructure using Python (Flask/Fast API) or Java (Spring Boot) and relational data backend (AWS - Aurora/Redshift/Athena/S3) Support users and operational flows for quantitative risk, senior management and portfolio management teams using the tools developed Qualifications/Skills Required More ❯

engineering background Exposure to building or deploying AI/ML models into a production environment Previously used AWS data services e.g. S3, Kinesis, Glue, Athena, DynamoDB, SNS/SQS Experience using any data streaming technologies/paradigms for real-time or near-real time analytics More ❯

motivated with a proactive approach to identifying opportunities and recommending scalable, creative solutions. Exposure to some of the following technologies: Python, AWS Redshift, AWS Athena/Apache Presto, Big Data technologies (e.g S3, Hadoop, Hive, Spark, Flink, Kafka etc), NoSQL systems like Cassandra, DBT is nice to have. What More ❯

and automated deployments. Have excellent knowledge of AWS services (ECS, IAM, EC2, S3, DynamoDB, MSK). Our Technology Stack: Python and Scala Starburst and Athena Kafka and Kinesis DataHub ML Flow and Airflow Docker and Terraform Kafka, Spark, Kafka Streams and KSQL DBT AWS, S3, Iceberg, Parquet, Glue and More ❯

role: Previous experience developing, testing, and deploying data pipelines, data lakes, data warehouses, and data marts using ideally AWS services such as S3, Glue, Athena, EMR, Kinesis, and Lambda. Experience of major operating platforms and their linkage, connectivity functions and issues. Cloud Security - Experience/skills of addressing concept More ❯

optimizing data delivery, re-designing infrastructure for greater scalability and performance. Essential Skills and Experience: ·Hands-on experience with AWS services, including Lambda, Glue, Athena, RDS, and S3. ·Strong SQL skills for data transformation, cleaning, and loading. ·Strong coding experience with Python and Pandas. ·Experience with any flavour of More ❯

optimizing data delivery, re-designing infrastructure for greater scalability and performance. Essential Skills and Experience: Hands-on experience with AWS services, including Lambda, Glue, Athena, RDS, and S3. Strong SQL skills for data transformation, cleaning, and loading. Strong coding experience with Python and Pandas. Experience with any flavour of More ❯

or more languages such as Java, Python or PySpark Experience in Cloud implementation with AWS Data Services, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Lambda, Step Functions, Event Bridge, ECS, Data De/Serialization, Parquet, JSON format, IAM Services, Encryption, KMS, Secrets Manager. Practical experience with Infrastructure as More ❯

Elastic Search Experience with SDLC, CI/CD toolsets, Automation, standard IDEs Experience with Public Cloud & related Technologies (ECS, S3, Lambda, Elastic Search, MongoDB, Athena, Glue) Experience with Agile, Test-driven development. In-depth knowledge of various software architecture solution patterns Self-learner focused on quality and delivery. Ability More ❯

stack, including (but not limited to) spark/hadoop, kafka, Aerospike/Dynamodb Experience with AWS tech stack, including but not limited to EMR, Athena, EKS Expert knowledge of multi-threading, memory model, etc. Understanding of database fundamentals and MySQL knowledge Experience with CICD tools such as Jenkins, Graphite More ❯

prefer to have some experience with Spring Boot. Good to have experience using AWS cloud services (e.g., EC2, S3, Lambda, MSK, ECS, EMR, RDS, Athena etc. ) Experience working with Maven, Jenkins, Git etc. Understanding of database concepts and working knowledge with any of the vendors (Preferably Oracle) with at More ❯

with DBT, building and maintaining modular, scalable data models that follow best practices Strong understanding of dimensional modelling Familiarity with AWS data services (S3, Athena, Glue) Experience with Airflow for scheduling and orchestrating workflows Experience working with data lakes or modern data warehouses (Snowflake, Redshift, BigQuery) A pragmatic problem More ❯

stack Python and associated ML/DS libraries (Scikit-learn, Numpy, LightlGBM, Pandas, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, Athena, etc. MLOps: Terraform, Docker, Airflow, MLFlow More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work from abroad policy, 2-for More ❯

warehouse and lakehouse solutions for analytics, reporting, and machine learning. Implement ETL/ELT processes using tools such as Apache Airflow, AWS Glue, and Amazon Athena . Work with cloud-native technologies to support scalable, serverless architectures. Collaborate with data science teams to streamline feature engineering and model … Expertise in Snowflake and modern data architectures. Experience designing and managing data pipelines, ETL, and ELT workflows . Knowledge of AWS services such as Athena, Glue, and EMR. Experience working closely with data scientists and ML engineers . Strong problem-solving skills and ability to work independently. Whats on More ❯

Years of overall Data and Analytics experience with Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOPS Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (meta data/business catalogs). More ❯

Engineering colleagues. What you'll need Required: Experience designing and building high throughput, scalable, resilient, and secure data pipelines. Experience with AWS technologies: Glue, Athena, S3, Step Functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kinesis Firehose. Expert knowledge of SQL. Hands-on experience with Kafka. Hands-on experience More ❯

Years of overall Data and Analytics experience with 10+ Years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOPS Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (meta data/business catalogs). Knowledge More ❯

of experience in data engineering with a focus on AWS services Strong experience with AWS services such as S3, Glue, Lambda, Redshift, DynamoDB, and Athena Proficiency in programming languages such as Python, Java, or Scala Experience with SQL and NoSQL databases Familiarity with data warehousing concepts, ETL processes, and More ❯

jobs Applying AI and data analytics to large datasets Working with big data tools like Apache Spark and AWS technologies such as Elastic MapReduce, Athena and Lambda Please contact Edward Laing here at ISR Recruitment to learn more about our client and how they are leading the way in More ❯

AWS best Practises. Establish Cloud Governance policies and procedures. Work closely with Data Team on required platform integrations using data analytics tools like Redshift, Athena and Glue. Work closely with Technical Architects on Low Level designs and implementations in line with the companies policies. Work closely with the applications More ❯

such as Kafka, NoSQL, Airflow, TensorFlow, or Spark. Finally, experience with cloud platforms like AWS or Azure, including data services such as Apache Airflow, Athena, or SageMaker, is essential for the Mid-level. The Role: Build and maintain scalable data pipelines. Design/implement optimised data architecture. Develop ETL More ❯

AWS best Practises. Establish Cloud Governance policies and procedures. Work closely with Data Team on required platform integrations using data analytics tools like Redshift, Athena and Glue. Work closely with Technical Architects on Low Level designs and implementations in line with the companies policies. Work closely with the applications More ❯

pipelines and doing transformation and ingestion in a a certain tech suite. Extensive experience in implementing solutions around the AWS cloud environment (S3, Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling (ERwin, PowerDesigner More ❯

and identify future opportunities for leveraging AWS services and implement effective metrics and monitoring processes. Your Skills and Experience Experience of AWS tools (e.g. Athena, Redshift, Glue, EMR), Java, Scala, Python, Spark. Experience of developing enterprise grade ETL/ELT data pipelines and demonstrable knowledge of applying Data Engineering More ❯