1 to 25 of 54 Amazon Athena Jobs

Some Front End ability (Vue, React or Angular good but not necessary) Agile The following is DESIRABLE, not essential: AWS or GCP Buy-side Data tools such as Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio Fixed Income performance, risk or attribution TypeScript and Node Role: Python Developer (Software Engineer Programmer Developer Python Fixed Income JavaScript Node Fixed Income … requires the team to be in the office 1-2 times a week. The tech environment is very new and will soon likely include exposure to the following: Glue, Athena, Airflow, Ignite, DBT, Arrow, Iceberg, Dremio This is an environment that has been described as the only corporate environment with a start-up/fintech attitude towards technology. Hours More ❯

apparatus at Vanguard. The role involves working with Vanguard's funds data and using leading technologies with Cloud Native architecture - Java (Springboot), AWS services (IAM, S3, ECS, EMR, Lambda, Athena, DynamoDb, etc.) and Python. The team uses agile methodologies and operates a continuous delivery pipeline, deploying daily. Vanguard is one of the world's largest investment management companies, with More ❯

a collaborative team environment, as well as independently. Preferred Qualifications: Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka). Familiarity with AWS and its data services (e.g. S3, Athena, AWS Glue). Familiarity with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake). Knowledge of containerization and orchestration tools (e.g., Docker, ECS, Kubernetes). Familiarity of data orchestration tools More ❯

Integration: Knowledge of Informatica ETL processes. Enterprise Systems: Familiarity with Oracle EBS or Fusion required API Development: Expertise in RESTful services. Cloud Platforms: Experience with AWS and serverless architectures, Athena Preferable Testing: Familiarity with Jest for unit testing (nice to have). Soft Skills: Attention to Detail: Hands-on principal-level engineer with meticulous approach to ensuring accuracy and More ❯

Integration: Knowledge of Informatica ETL processes. Enterprise Systems: Familiarity with Oracle EBS or Fusion required API Development: Expertise in RESTful services. Cloud Platforms: Experience with AWS and serverless architectures, Athena Preferable Testing: Familiarity with Jest for unit testing (nice to have). Soft Skills: Attention to Detail: Hands-on principal-level engineer with meticulous approach to ensuring accuracy and More ❯

/or algorithms Our technology 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-1 share purchase plans, an More ❯

/or algorithms Our technology 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-1 share purchase plans, an More ❯

in big data technologies and cloud-based technologies AWS Services, State Machines, CDK, Glue, TypeScript, CloudWatch, Lambda, CloudFormation, S3, Glacier Archival Storage, DataSync, Lake Formation, AppFlow, RDS PostgreSQL, Aurora, Athena, Amazon MSK, Apache Iceberg, Spark, Python ONSITE: Partially onsite 3 days per week (Tue, Wed, Thurs) and as needed. Standard work hours: 8:30 AM - 5:00 PM … related degree 6 years-of application development, systems testing Nice to have: AWS Redshift, Databricks- delta Lake, Unity catalog, Data Engineering and processing using Databricks, AI and Machine Learning Amazon Bedrock, AWS Sagemaker, Unified Studio, R Studio/Posit Workbench, R Shiny/Posit Connect, Posit Package Manager, AWS Data Firehose, Kafka, Hive, Hue, Oozie, Sqoop, Git/Git More ❯

Site Reliability Engineering, or Infrastructure roles. Strong experience with public cloud environments, particularly AWS (e.g., EC2, S3, RDS, IAM, EKS). Familiarity with AWS ETL services (e.g., Glue Jobs, Athena, Firehose). Experience with AWS migration tools (e.g., DMS, DataSync). Ability to manage AWS Organizations, accounts, and permission sets. Hands-on experience with Infrastructure-as-Code tools (e.g. More ❯

framework and experience relating data insight with business problems and creating appropriate dashboards Mandatory required high proficiency in ETL, SQL and database management Experience with AWS services like Glue, Athena, Redshift, Lambda, S3 Python programming experience using data libraries like pandas and numpy etc Interest in machine learning, logistic regression and emerging solutions for data analytics You are comfortable More ❯

/or algorithms Our technology 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-1 share purchase plans, an More ❯

based systems Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, pandas, LightGBM, LangChain/LangGraph, TensorFlow, etc ) PySpark AWS cloud infrastructure: EMR, ECS, ECR, Athena, etc. MLOps: Terraform, Docker, Spacelift, Airflow, MLFlow Monitoring: New Relic CI/CD: Jenkins, Github Actions More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work More ❯

/or algorithms Our technology 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-1 share purchase plans, an More ❯

based systems Our technology stack Python and associated ML/DS libraries (scikit-learn, numpy, pandas, LightGBM, LangChain/LangGraph, TensorFlow, etc...) PySpark AWS cloud infrastructure: EMR, ECS, ECR, Athena, etc. MLOps: Terraform, Docker, Spacelift, Airflow, MLFlow Monitoring: New Relic CI/CD: Jenkins, Github Actions More information: Enjoy fantastic perks like private healthcare & dental insurance, a generous work More ❯

data architecture principles and how these can be practically applied. Experience with Python or other scripting languages Good working knowledge of the AWS data management stack (RDS, S3, Redshift, Athena, Glue, QuickSight) or Google data management stack (Cloud Storage, Airflow, Big Query, DataPlex, Looker) About Our Process We can be flexible with the structure of our interview process if More ❯

Willing to work in Python and Scala codebases Proficient in testing solutions at different levels - unit and integration - Experience with relational or non-relational databases, preferably PostgreSQL, DynamoDB, AWS Athena Experience with Docker and Kubernetes Nice to haves: Experience with Java Experience with Play framework Experience with web frameworks, or web development Experience with eCommerce Experience with event-driven More ❯

and improve pipeline performance and reliability Maintain documentation of systems, workflows, and configs Tech environment Python, SQL/PLSQL (MS SQL + Oracle), PySpark Apache Airflow (MWAA), AWS Glue, Athena AWS services (CDK, S3, data lake architectures) Git, JIRA You should apply if you have: Strong Python and SQL skills Proven experience designing data pipelines in cloud environments Hands More ❯

and maintaining data pipelines in a live environment. Data Storage Solutions: Familiarity with data lakes, warehousing, and other data storage patterns. Advanced Tools: Experience with tools like Kafka, Jenkins, Athena, or Spark. This role will require 4 days per week onsite in the office in Camden , this is not optional and you must be open to this in order More ❯

data pipelines and applications that process complex datasets from multiple operational systems.Key Responsibilities: Build and maintain AWS-based ETL/ELT pipelines using S3, Glue (PySpark/Python), Lambda, Athena, Redshift, and Step Functions Develop backend applications to automate and support compliance reporting Process and validate complex data formats including nested JSON, XML, and CSV Collaborate with stakeholders to More ❯

pipelines and applications that process complex datasets from multiple operational systems. Key Responsibilities: Build and maintain AWS-based ETL/ELT pipelines using S3, Glue (PySpark/Python), Lambda, Athena, Redshift, and Step Functions Develop backend applications to automate and support compliance reporting Process and validate complex data formats including nested JSON, XML, and CSV Collaborate with stakeholders to More ❯

exception handling) 2+ years of hands-on experience with Databricks 2+ years in a technical leadership role Strong knowledge of Python Practical experience with AWS services (e.g. S3, Redshift, Athena, Glue, Lambda) Upper-Intermediate or higher level of English Experience in energy-related domains (e.g. energy trading, utilities, power systems) - a strong advantage Experience with geospatial data will be More ❯

. Responsibilities: Design, develop, and maintain data pipelines using Apache Airflow . Create and support data storage systems (Data Lakes/Data Warehouses) based on AWS (S3, Redshift, Glue, Athena, etc.). Integrate data from various sources, including mobile apps , third-party APIs , and internal services . Ensure data quality, consistency, and availability . Support analysts: build user-friendly More ❯

using Linux systems and networking protocols, including packet capture analysis Design and enhance operational tools and architect DevOps solutions to optimize system performance and efficiency. Leverage AWS technologies (S3, Athena, QuickSight) to analyse data from millions of field devices, delivering insights to inform decision-making and drive operational efficiency. Develop and implement anomaly detection techniques and data-driven solutions More ❯

engage with clients, learn domain knowledge, be proactive and curious in addition to standard tech would be ideal for the role. Tech Stack: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL), Glue, Glue Data Catalog Python Current frontend is Tableau but experience with any of them will be interchangeable DevOps experience a bonus e.g. Terraform, Drone, Kubernetes More ❯

troubleshooting in cloud environments (primarily AWS; GCP experience is a plus). Monitor and investigate security events using AWS tools like Security Hub, CloudTrail, GuardDuty, VPC Flow Logs, and Athena . Apply fundamental cloud security principles, including: Secret management lifecycle Data protection and backup strategies Basic familiarity with containerized environments (Docker, Kubernetes) Implement small infrastructure and security changes using More ❯