.Job Title:Data Engineer LeadJob Description:We're Concentrix.
A new breed of tech company — Human-centered.
Tech-powered.
Intelligence-fueled.We create game-changing solutions across the enterprise, that help brands grow across the world and into the future.
We are trusted by clients across all major sectors, from up-and-coming success stories to iconic Fortune Global 500 brands in over 70 countries spanning 6 continents.Our game-changers:Challenge ConventionsDeliver outcomes unimaginedCreate experiences that go beyond WOWIf this is you, we would love to discuss career opportunities with you.In our Concentrix Catalyst team, you will work with the engine that powers the experience design and engineering capabilities at Concentrix.
A leading global solutions company that reimagines everything CX through strategy, talent, and technology.
We combine human-centered design, powerful data, and strong tech to accelerate CX transformation at scale.
You will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience.
Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients.
Hence achieving our vision.We're a remote-first company looking for the absolute best talent in the world.
Experience the power of a game-changing career.Job Summary:We are seeking a Data Engineer Lead who will assume a pivotal role in leading and mentoring a team of data engineers.
You will oversee the architecture, development, and optimization of our data systems and pipelines while ensuring data integrity, accessibility, and security.Key Responsibilities:Leadership & Team Development: Lead, mentor, and develop a team of data engineers, fostering a culture of collaboration, innovation, and continuous learning.Strategic Development: Define data strategy and roadmaps in alignment with business goals, contributing to long-term data infrastructure planning.Data Architecture & Pipeline Management: Design and implement scalable and efficient data architectures and processes using Azure and DataBricks.Database Oversight & Optimization: Ensure the performance, availability, and security of database systems using MS SQL Server and Qlik for data management and analytics.Technological Innovation: Drive the adoption of new tools and technologies that enhance data processing capabilities and promote best practices in data management.Collaboration & Communication: Partner with cross-functional teams, including data scientists, IT, and business stakeholders, to deliver high-quality data solutions.Project Management: Oversee data projects from conception to implementation, ensuring timely delivery and adherence to quality standards