ELEKS
Enterprise • SaaS • Artificial Intelligence
ELEKS is a trusted partner for software engineering and technology consulting services, providing end-to-end solutions to help businesses achieve their software vision. They offer a wide range of services, including application development, cloud migration, AI consulting, and cybersecurity. ELEKS specializes in data strategy and intelligent automation to drive business growth and efficiency. They cater to various industries by delivering custom software tailored to sectors such as fintech, healthcare, energy, and more. With over 30 years of experience and a global presence, ELEKS is dedicated to innovation and ensuring seamless software delivery for their clients.
Senior Data Engineer, Cybersecurity
Job not on LinkedIn
October 15
ELEKS
Enterprise • SaaS • Artificial Intelligence
ELEKS is a trusted partner for software engineering and technology consulting services, providing end-to-end solutions to help businesses achieve their software vision. They offer a wide range of services, including application development, cloud migration, AI consulting, and cybersecurity. ELEKS specializes in data strategy and intelligent automation to drive business growth and efficiency. They cater to various industries by delivering custom software tailored to sectors such as fintech, healthcare, energy, and more. With over 30 years of experience and a global presence, ELEKS is dedicated to innovation and ensuring seamless software delivery for their clients.
📋 Description
• Design and produce standardized reporting for stakeholders (internal associates, Retail Partners, contractors, and manufacturers) • Develop and manage to milestones and timelines for BI and reporting initiatives • Develop and enhance the data warehouse utilizing best practices, including utilizing extract, transform, and load levels to build a framework for scalability and enablement of self-service analytics • Analyze complex table structures and document data elements, data flow, relationships and dependencies, describing how data is stores and how to access data • Prep, ingest, and cleanse data in data warehouse • Source and integrate data from multiple platforms • Create, maintain, and monitor alerts to ensure that recurring jobs execute properly and in event of failure, identify and rectify timely to minimize impact to users • Fulfill adhoc reporting requests from the business team and/or support business team in BI self service • Develop a strong understanding of business processes, company enterprise platform, and table structures/relationships to extract and report correct data
🎯 Requirements
• 5+ years of experience • Strong expertise in AWS (particularly within the stack mentioned above) • Focus on data processing • Upper-Intermediate or higher level of English
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