Data Engineer

4 days ago

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ISC2

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ISC2 is a leading organization focused on advancing the cybersecurity profession through various certification programs, training, and community initiatives. They offer opportunities for individuals to gain cybersecurity certifications, enhance their skills, and participate in events that foster professional growth and networking. ISC2 also emphasizes advocacy and education, working to empower individuals in their cybersecurity careers and promote diversity within the field.

vendor-neutral certifications • IT security training and certification • Information security training and certification • Application security training and certification • cybersecurity certification

201 - 500 employees

Founded 1989

🔒 Cybersecurity

📚 Education

👥 HR Tech

📋 Description

• Implement Azure Data Services and tools to ingest , egress and transform data from multiple sources and create and maintain optimal data pipeline architecture. • Responsible for creating ETL pipeline with Azure Ecosystem like Azure Synapse ,Azure Data Factory. • Implement and support ETL related jobs to curate , transform and aggregate data to create models for end user consumption. • Assemble large, complex data sets that meet functional / non-functional business requirements. • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Azure from Sales Force ,Pearson Vue etc. • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. • Implement the appropriate design patterns while optimizing performance, cost, security, and scale and end user experience. • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. • Work with data and analytics experts to strive for greater functionality in our data systems. • Maintain ownership of a given pipeline or domain and raise flags to leadership when appropriate regarding architectural concerns. • Demonstrates commitment to valuing diversity and contributing to an inclusive working and learning environment.

🎯 Requirements

• Ability to build an inclusive culture that encourages, supports and celebrates diversity; serve as a role model to promote DEI best practices. • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases. • Strong analytic skills related to working with unstructured datasets. • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores. • Strong project management and organizational skills.