9 of 9 Amazon Athena Jobs in Slough

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 ❯

+ Benefits Key Skills: • Experience designing and building high throughput, scalable, resilient and secure data pipelines. • Experience with the following AWS technologies : Glue jobs, Athena, S3, Step functions, Lambda, RDS (Aurora Postgres), DMS, Redshift, QuickSight, Kenesis Firehose. • Expert knowledge of SQL . • Hands on experience with Kafka. • Hands on More ❯

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, this is not optional and you must be open to More ❯

easy and safe for teams to use and contribute to data systems. You’ll work with services like Lambda, S3, LakeFormation, Glue, Step Functions, Athena, EventBridge, SNS, SQS, and DynamoDB, and will be expected to navigate and manage data systems with a high degree of rigour and compliance. Familiarity More ❯

Design & build scalable, secure, and resilient data pipelines Own projects end-to-end — from design to production Work with modern AWS tools (Glue, Lambda, Athena, S3, Redshift, etc.) Contribute to platform strategy and mentor teammates Collaborate across engineering, product, architecture, and security What you bring: Proven experience building high More ❯

/EKS experience. Implementing pipeline security controls, such as SAST, vulnerability scanning, and code linting. Monitoring and securing infrastructure using AWS services like CloudWatch, Athena, Config, and CloudTrail. Why join us - This is an opportunity to use your technical capabilities to support one of the most important challenges of More ❯

robust data pipelines using AWS native services (Glue, Lambda, Step Functions, S3, etc.) Develop and optimize data lake and data warehouse solutions using Redshift, Athena, and related technologies Collaborate with data scientists, analysts, and business stakeholders to understand data requirements Ensure data quality, governance, and compliance with financial regulations … in cloud-native environments (AWS preferred) Strong proficiency with Python and SQL Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools. Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation) Solid understanding of More ❯

Excellent opportunity for AWS DevOps Engineer to be part of our Cloud Infrastructure & Security services practice. Cognizant Infrastructure Services – Provides IT infrastructure & Cloud services for clients across industry verticals, including both Consulting/Professional and Managed Services, across Enterprise Computing More ❯

culture of innovation, collaboration, and continuous development. Key Responsibilities: Design, develop, test, and deploy data integration pipelines in AWS using services like Redshift, Glue, Athena, Lambda, and S3. Lead a team of data engineers, guiding their technical work and fostering professional development. Create technical documentation, including architecture diagrams, test … consistent and scalable reporting experience. Essential Qualifications & Experience: 10+ years of experience in data engineering or data integration roles using AWS (e.g. Redshift, Glue, Athena, Lambda, S3). 5–8 years of management or team leadership experience. 5–8 years in a consulting or client-facing delivery role (preferred More ❯