Experienced Full Stack Data Engineer – Cloud Data Pipeline Development and Management

About Us At Apple, we're revolutionizing the way people interact with technology and each other. As a leader in the tech industry, we're constantly pushing the boundaries of innovation and excellence. Our mission is to empower individuals and organizations to achieve their goals through cutting-edge technology and exceptional customer support. We're seeking a highly skilled and motivated Full Stack Data Engineer to join our team and contribute to the development and management of our cloud data pipeline. Job Summary We're looking for a talented Full Stack Data Engineer to join our team and help us build and manage a scalable data lake that enables seamless data integration, processing, and analysis. As a key member of our data engineering team, you'll work closely with cross-functional teams to design, develop, and deploy data pipelines that drive business insights and inform strategic decision-making. If you're passionate about data engineering, cloud computing, and collaboration, we encourage you to apply for this exciting opportunity. Key Responsibilities Design, develop, and deploy scalable data pipelines that integrate with multiple cloud regions and data sources. Collaborate with data scientists, developers, and product managers to understand requirements and develop data solutions that meet business needs. Architect and implement data processing systems that ensure data quality, security, and compliance. Develop and maintain data visualizations and reports that provide actionable insights to stakeholders. Work with cloud-based technologies such as AWS and GCP to design and deploy data pipelines that are scalable, secure, and efficient. Stay up-to-date with industry trends and emerging technologies to ensure our data engineering practices remain cutting-edge. Participate in code reviews, testing, and deployment to ensure high-quality data solutions. Contribute to the development of data engineering best practices and standards within the organization. Essential Qualifications Bachelor's degree in Computer Science, Information Systems, Data Science, or a related field. 2+ years of experience in data engineering, with a focus on cloud computing, data processing, and data integration. Proficiency in at least one programming language (e.g., Java, Python, Scala) and SQL. Experience with data processing frameworks such as Apache Spark, Hadoop, and NoSQL databases. Knowledge of cloud-based technologies such as AWS and GCP, including services like S3, DynamoDB, and CloudFormation. Experience with data visualization tools such as Tableau, Power BI, or D3.js. Strong understanding of data security, compliance, and governance principles. Preferred Qualifications Master's degree in Computer Science, Data Science, or a related field. Experience with containerization tools like Docker and Kubernetes. Knowledge of data warehousing and business intelligence tools like Amazon Redshift and Amazon QuickSight. Experience with data governance and metadata management tools like Apache Atlas and AWS Glue. Strong understanding of DevOps practices and tools like Jenkins, Git, and Docker. Skills and Competencies We're looking for a talented individual who possesses the following skills and competencies: Strong problem-solving and analytical skills. Excellent communication and collaboration skills. Ability to work in a fast-paced, dynamic environment. Strong attention to detail and quality assurance. Ability to learn and adapt quickly to new technologies and tools. Strong understanding of data engineering principles and best practices. Career Growth Opportunities and Learning Benefits We offer a range of career growth opportunities and learning benefits to help you develop your skills and advance your career: Opportunities to work on high-impact projects that drive business growth and innovation. Access to cutting-edge technologies and tools to stay ahead of the curve. Regular training and development programs to enhance your skills and knowledge. Mentorship and coaching from experienced professionals to guide your career growth. Opportunities to collaborate with cross-functional teams and build relationships with stakeholders. Work Environment and Company Culture We're proud of our inclusive and diverse work environment, where everyone is valued and respected: Collaborative and dynamic work environment with a focus on teamwork and innovation. Flexible work arrangements to support work-life balance and employee well-being. Opportunities to participate in employee resource groups and diversity initiatives. Access to on-site amenities and services to support employee health and wellness. Recognition and rewards programs to celebrate employee achievements and contributions. Compensation, Perks, and Benefits We offer a competitive compensation package, including: $32/hour salary. Comprehensive benefits package, including medical, dental, and vision coverage. Retirement savings plan with company match. Flexible paid time off and holidays. Access to on-site amenities and services, including fitness center, cafeteria, and dry cleaning. How to Apply If you're passionate about data engineering, cloud computing, and collaboration, we encourage you to apply for this exciting opportunity: Apply Job! For more information about our company culture and benefits, please visit our website: please click here! Apply for this job