5 of 5 Remote 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 ❯

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 ❯

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 ❯