8 of 8 Amazon Athena Jobs in the South East

architecture. You will need to have skills and experience in the following: Cloud Data Architecture: Strong knowledge of modern, cloud-based data architecture and tooling (e.g., S3, Glue, Redshift, Athena, Lake Formation, Iceberg/Delta). AWS Platform Build: Demonstrable experience designing and building modern data platforms in AWS. ETL/Orchestration Expertise: Expertise in ETL/ELT design More ❯

experience with some of the following technology that is also in the tech stack: data pipeline orchestration tools (e.g. Airflow, Prefect, Dagster), cloud data platforms (e.g. AWS, S3, Glue, Athena, Redshift, Kinesis), data warehouse concepts and dimensional modelling, data streaming tools (e.g. Kafka, Kinesis) You're collaborative with great communication skills What's in it for you: Salary to More ❯

needed. Skills required to contribute: Years of overall Data and Analytics experience with 2. Minimum 10+ years in AWS data platform including AWS S3, AWS Glue, AWS Redshift, AWS Athena, AWS Sagemaker, AWS Quicksight and AWS MLOPS 3. Snowflake DWH architecture, Snowflake Data Sharing, Snowpipe, Polaris catalog and data governance (meta data/business catalogs). 4. Knowledge of More ❯

and innovating with cutting-edge innovation and leadership? We're on the look out for a Senior Data Engineer who has experience in: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL). Open to interchangable Azure experience. Databricks Python Devops experience a bonus e.g. Terraform, Drone, Kubernetes cluster management for microservice style API data consumption Consultative behaviour More ❯

and ensuring high-fidelity cloud platform emulation to help developers test locally with speed and confidence. Requirements What you will be working on/responsible for Ensure Snowflake, Redshift, Athena, Glue, and future emulators are kept up to date with the latest syntax, behaviors, and APIs. Identify and resolve bugs, edge cases, and inconsistencies across emulated services. Maintain robust … including SQL engines, query planning, storage layers, indexing, and SQL parsing/ASTs, with experience developing database features. Hands-on experience with cloud data platforms such as Snowflake, Redshift, Athena, or BigQuery, including optimization techniques and custom parsers/transpilers. Practical knowledge of distributed and analytical engines (e.g., Apache Spark, Trino, PostgreSQL, DuckDB) with skills in query engines, performance More ❯

crafting robust C# microservices to leveraging the power of AWS for cloud-native solutions. You'll work with a diverse tech ecosystem including S3, SQS, SNS, Lambda, RDS (Postgres), Athena, Step Functions, and Glue ETL, while also diving into SQL, Python, and occasionally Groovy. Strong foundations in Object-Oriented Design, SOLID principles, and CI/CD are essential. As … all development activities, adhering to industry standards and internal policies. Experience & Competencies Essential SQL Mastery : CTEs, joins, triggers, cursors, Postgres, partitioning, window functions. AWS Expertise : S3, Step Functions, Glue, Athena, data partitioning strategies. C# : Multithreading, records, IOC/DI, .NET Core, generics. Python : Solid working knowledge. CI/CD : GitLab pipelines, scripting (PowerShell/Bash), automation best practices. Containers More ❯

quality & root-cause elimination: Establish tests, SLAs, lineage, and monitoring; run post-incident reviews and drive permanent fixes. Platform creation & optimisation (AWS): Architect and operate on AWS (S3, Glue, Athena/Redshift Serverless, Lambda, Kinesis, Aurora/RDS, IAM) optimised for cost, performance, and reliability. Pipelines (ETL/ELT): Build and maintain batch/stream pipelines unifying factory machines … platform that scales as elasticStage expands to new manufacturing sites and markets. Required Skills and Qualifications: Deep, hands-on experience designing and operating data platforms on AWS (S3, Glue, Athena/Redshift Serverless, Lambda, Kinesis, IAM) and relational stores (Aurora/RDS). SQL + Python proficiency; experience with dbt (or similar) and a modern orchestration tool. Strong data More ❯

Level 4) to join a high-profile government data transformation programme. The role will support an existing team, working across data modelling, analytics, and performance optimisation within the AWS Athena environment.This is not a data engineering or build role; it’s focused on understanding, analysing, and optimising existing data models and SQL scripts to improve efficiency, structure, and insight … of the role, active SC clearance is required.Key Responsibilities Analyse and interpret existing SQL/NoSQL scripts, optimising performance and accuracy. Review, document, and enhance data models in AWS Athena and related warehousing environments. Provide insight and recommendations on data modelling standards, table structures, and query logic. Support the wider MIDAS analytical and engineering team on data validation and … Skills & Experience Proven experience as a Data Analyst or Data Modeller within large, data-driven organisations. Strong proficiency in SQL (writing, debugging, and optimising scripts). Experience with AWS Athena and related data warehousing/analytics tools (e.g. Redshift). Understanding of data modelling principles — normalisation, star/snowflake schemas, and metadata management. Knowledge of both SQL and NoSQL More ❯