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The Coca-Cola Company · 3 days ago
Director of Engineering (Full Stack Engineer)
Atlanta, GA
Full-time
Onsite
Director
15+ years exp
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Responsibilities
Guide the engineering team to achieve product goals while promoting high-quality software development and fostering a collaborative and innovative culture.
Oversee the implementation of best practices in coding, security, and scalability.
Define the technical vision and roadmap for products or features, focusing on scalability, maintainability, and long-term impact.
Set clear performance goals for individual engineers and the team.
Partner with product managers and stakeholders to translate business requirements into technical specifications.
Develop and implement a long-term technology roadmap aligned with the business strategy.
Define the technical vision and roadmap for assigned features or products, considering scalability, maintainability, and long-term impact.
Design, develop, and implement high-quality, reusable, and maintainable code for front-end and back-end components.
Develop user interfaces using modern web technologies (e.g., HTML, CSS, JavaScript frameworks like React, Vue.js).
Develop APIs using robust back-end frameworks and languages (e.g., Python, Java, Node.js).
Design and implement data models and manage data persistence effectively.
Integrate front-end and back-end components to create a cohesive user experience.
Design and implement automated monitoring and alerting systems to identify and address potential issues proactively.
Develop and implement automated processes for deployments, rollbacks, and infrastructure provisioning.
Stay up-to-date with the latest tools and technologies, including cloud platforms Azure and containerization technologies (e.g., Docker, Kubernetes).
Develop and implement automated tests and alerts to proactively identify and troubleshoot data issues before they impact downstream data consumers.
Implement and maintain data observability tools and techniques (e.g., Azure monitor) to monitor data quality, pipeline health, and performance metrics.
Design, develop, and maintain data pipelines using big data technologies (Spark and cloud platforms Azure) with a focus on efficiency, reliability, and scalability.
Implement and optimize data quality checks and data cleansing routines to ensure data integrity and accuracy.
Develop and maintain data warehouses and data models optimized for storage, retrieval, and performance.
Automate data processing tasks and workflows using scripting languages (e.g., Python) and orchestration tools (e.g., Airflow).
Collaborate with data scientists, analysts, and other stakeholders to understand data needs and translate them into technical solutions.
Good understanding of ML and its lifecycle along with Working Knowledge of MLFLow and in cloud technology like Azure ML.
Automate software delivery pipelines using CI/CD (Continuous Integration/Continuous Delivery) tools and practices.
Configure and manage containerization technologies (e.g., Docker, Kubernetes) for efficient application deployment and scaling.
Collaborate with security teams to implement security best practices throughout the software development lifecycle.
Qualification
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Required
Master’s degree in computer science, Information Technology, or a related field (or equivalent experience)
15+ years of experience in software development with a strong understanding of both front-end and back-end technologies
5+ years of experience in data engineering principles and practices (e.g., big data technologies, data warehousing, data pipelines)
3+ years’ experience in data and application reliability and Devops/MLOps
Proven experience in leading and mentoring software development teams (ideally including data engineers)
Experience in designing and implementing scalable, maintainable, and secure software systems, including data pipelines
Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders
Strong problem-solving skills and the ability to think critically and creatively across both software development and data engineering challenges
A passion for technology and a commitment to continuous learning
Preferred
Experience in Knowledge graph and Graph databases
Experience with data governance frameworks and data security practices
Experience in data analysis or machine learning (a plus)
Benefits
Innovation & Technology
Exposure to World Class Leaders
Agile Work Environment
Company
The Coca-Cola Company
The Coca-Cola Company distributes coke, diet coke, and other soft drinks.
10,001+ employees
H1B Sponsorship
The Coca-Cola Company has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Trends of Total Sponsorships
2023 (8)
2022 (19)
2021 (18)
2020 (7)
Funding
Current Stage
Public CompanyTotal Funding
unknown1978-01-13IPO· nyse:KO
Leadership Team
James Quincey
Chief Executive Officer
Deepanjan Roy
VP, CHI Franchise, Africa Operating Unit
Recent News
2024-05-31
2024-05-24
2024-04-29
Company data provided by crunchbase
