AWS Engineer

Job not on LinkedIn

November 14

Apply Now

Receive Emails with Similar Jobs

Capgemini

WebsiteLinkedInAll Job Openings

Enterprise • Artificial Intelligence • Cybersecurity

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

10,000+ employees

Founded 1967

🏢 Enterprise

🤖 Artificial Intelligence

🔒 Cybersecurity

📋 Description

• Preps/cleanses data to optimize for downstream reporting via Farmers standard visualization or AI/ML tools with coaching and feedback • Translates business data stories into a technical story breakdown structure and work estimates for a schedule or planned agile sprint. • Develops and maintains moderately complex scalable data pipelines for both streaming and batch requirements and builds out new API integrations to support increased demands of data volume and complexity • Produces data building blocks, data models, and data flows for varying client requests such as dimensional data, standard and ad hoc reporting, data feeds, dashboard reporting, and data science research and exploration. • Creates business user access methods to structured and unstructured data. Utilizes techniques such as mapping data to a common data model, natural language processing, transforming data as necessary to satisfy business rules, AI, statistical computations, and validation • Responsible for acquiring, curating, and publishing data both on prem and in the cloud for analytical or operational uses for basic to moderate scenarios. • Ensures the data is in a ready-to-use form that creates a single version of the truth across all data consumers, including business/technology users, reporting and visualization specialists and data scientists with coaching and support. • Utilizes skills to translate business analytic requests/requirements into design, development, testing, deployment, and production maintenance tasks. • Works with various technologies from big data, relational and non-relational databases, cloud environments, different programming languages and various reporting tools and is familiar with a few but requires training for some.

🎯 Requirements

• 4-6 years of experience in a similar as a Data Engineer with AWS Tools • BS in Computer Science or similar • Full English Fluency • Exp Insurance within finance area (PLUS) • SQL – Intermediate (MUST) • AWS Glue, S3, Lambda, step functions (MUST) • Snowflake - Intermediate (4-6 Years) (MUST) • DBT - Entry Level (1-3 Years) (MUST) • AWS Cloud Data - Intermediate (4-6 Years) (MUST) • MSSQL - Entry Level (1-3 Years) (Desirable) • Communications - Intermediate • Office Suite - Intermediate • Rally - Entry Level or similar • Agile - Entry Level, knowledge

🏖️ Benefits

• A competitive salary and performance-based bonuses. • Comprehensive benefits package. • Flexible work arrangements (remote and/or office-based). • You will also enjoy a dynamic and inclusive work culture within a globally renowned group. • Private Health Insurance. • Paid Time Off. • Training & Development opportunities in partnership with renowned companies.