
10,000+ employees
Founded 2000
🏢 Enterprise
💰 Post-IPO Debt on 2023-02
Technology • Consulting • Enterprise
Endava is a technology company that partners with clients to drive meaningful change through innovative technological solutions. With over two decades of experience, Endava combines world-class engineering, industry expertise, and a people-centric mindset to transform businesses across various sectors. Specializing in areas such as finance and banking, healthcare, media, and telecommunications, Endava leverages its industry-specific knowledge to create solutions that meet the evolving needs of the market. The company is committed to building trusted partnerships and creating positive impacts for both businesses and people.
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10,000+ employees
Founded 2000
🏢 Enterprise
💰 Post-IPO Debt on 2023-02
Technology • Consulting • Enterprise
Endava is a technology company that partners with clients to drive meaningful change through innovative technological solutions. With over two decades of experience, Endava combines world-class engineering, industry expertise, and a people-centric mindset to transform businesses across various sectors. Specializing in areas such as finance and banking, healthcare, media, and telecommunications, Endava leverages its industry-specific knowledge to create solutions that meet the evolving needs of the market. The company is committed to building trusted partnerships and creating positive impacts for both businesses and people.
• Meet and coordinate with internal and external stakeholders to establish project scope, system goals, and requirements • Help translate business requirements into technical specifications for data consumption and use • Provide guidance on appropriate data platform(s) (repository, database, etc.) to meet requirements • Accurately map data attributes between different domain models • Develop, analyze, prioritize, and organize requirement specifications, data mapping, diagrams, data models and flowcharts for developers and testers to follow • Help deploy and troubleshoot application data pipelines across various architectural environments that will vary by client from legacy to modern including application servers, queues, API gateways, databases, etc. or cloud-based equivalents
• Typically has 5+ years of experience with varied technical experience in designing/developing data pipelines and data stores • Demonstrated experience designing data architecture(s) for Business Intelligence/Analytical usage • Understanding of data modeling and data mapping • Experience with Data Warehouse and Data Mart • Experience with TFS, Microsoft SQL Server, Microsoft SSIS, Power BI • Extensive experience with SQL • Extensive experience with relational and non-relational database technologies (Oracle, MS SQL Server, GraphQL, DynamoDB, MongoDB, PostgresSQL, Redis, ElastiCache, etc) • Experience in ETL (AWS Glue, Azure DataFactory, Apache NiFi, etc) • Experience with a variety of data systems and performance tuning approaches • Knowledge of a variety of architectural principles like hub and spoke, bus, event driven software architectures, etc • Working knowledge of Data Science technology stacks • Working knowledge of BI data analytical products • Excellent verbal and written communication skills • Ability to present technical solutions to both technical and non-technical audiences • Strong ability to review existing codebases/processes and refactor for improvement vs starting over • Strong problem solver • Professional presence • Bachelor’s Degree or equivalent experience
• Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options • Flexible Spending Accounts (Medical, Transit, and Dependent Care) • Employer Paid Life Insurance and AD&D Coverages • Health Savings account paired with our low-cost High Deductible Medical Plan • 401(k) Safe Harbor Retirement plan with employer match with immediately vest
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