services regulations (PCI DSS, FCA, GDPR). Database & Data Services: Expertise in how data services connect, function and integrate within AWS, such as Athena, Redshift and Aurora. AWS Contact Platform Services: Hands-on experience with AWS Connect and related services such as Lens and Kinect. Coding & Automation: Proficiency in more »
various sources. Build and optimize data warehousing solutions for efficient data storage and retrieval. Cloud Infrastructure & Integration Implement cloud-based data solutions using AWS (Redshift, S3, Glue, Lambda). Optimize cloud solutions for cost-efficiency and performance across distributed systems. Lead the integration of APIs, data lakes, and batch … Drive process improvements to enhance efficiency and automation. Skills and Experience Essential: Proficiency in Python, SQL, and Apache Spark. Experience with AWS data services (Redshift, S3, Glue, Lambda). Strong understanding of ETL/ELT processes, data lakes, and API integration. Expertise in data governance, privacy, and security regulations. more »
lead on their Analytic Engineering. Requirements: Analytics engineer & Data Analyst experience SQL, DBT, Python experience CI/CD experience Kafka (nice to have) Snowflake, RedShift, Big Query Desired Skills and Experience Data Analytics, Analytics Engineer, SQL, DBT, Kafka, Python, Snowflake more »
Manchester, North West, United Kingdom Hybrid / WFH Options
Arrow Group
patching, upgrades, PowerShell remote management, and troubleshooting complex issues. Excellent problem determination, analytical, and resolution skills are a must. Expertise in AWS tools, including Redshift, Aurora, Athena, DynamoDB, and Amazon RDS. Experience with Dev lifecycle/database progression (Dev/Test/UAT/Pre-prod/Production more »
