Step into the innovative world of LG Electronics. As a global leader in technology, LG Electronics is dedicated to creating innovative solutions for a better life. Our brand promise, 'Life's Good', embodies our commitment to ensuring a happier life for all. We have a rich history spanning over six decades and a global presence in over 290 locations. Our diverse portfolio includes Home Appliance & Air Solution, Home Entertainment, Vehicle Components Solutions, and Business Solutions. Our management philosophy, "Jeong-do Management," embodies our commitment to high ethical standards and transparent operations. Grounded in the principles of 'Customer-Value Creation' and 'People-Oriented Management', these values shape our corporate culture, fostering creativity, diversity, and integrity. At LG, we believe in the power of collective wisdom through an inclusive work environment. Join us and become a part of a company that is shaping the future of technology. At LG, we strive to make Life Good for Everyone.
What We Can Offer
A crafted employee experience designed to foster professional growth, a focus on health & well-being and an internal community that will set you up for success.
The Opportunity
In this role you will be working on our Analytics, Insights and Data Science Manager (AID) within the CXM|dXp division of LG Electronics USA. On this team we foster an atmosphere of collaboration, exploration and innovation. We value teamwork, creativity, and a customer-centric approach where you will focus on digital transformation. As a Cloud Data Engineer, you will be responsible for developing and optimizing our cloud-based data solutions, enabling the organization to collect, store, and analyze data efficiently. You will work closely with cross-functional teams to support data integration, transformation, and analytics, contributing to the success of our data-driven initiatives. We are seeking a skilled and motivated Data Scientist to join our team and play a key role in designing, building, and maintaining our cloud-based data infrastructure using Google Cloud Platform. If you are passionate about cloud-based data solutions and data engineering, we invite you to apply and be part of our exciting journey.
- Data Architecture: Design and implement robust, scalable, and cloud-based data architectures, leveraging Google Cloud Platform.
- Data Integration: Develop ETL (Extract, Transform, Load) pipelines to extract data from various sources, transform it for analysis, and load it into data warehouse.
- Data Modeling: Create and maintain data models that support business intelligence, analytics, and reporting needs.
- Data Quality: Implement data cataloging, metadata management, quality checks and ensure data accuracy, consistency, and completeness using services like Data Plex.
- Cloud Services: Utilize cloud services, such as Google Cloud Storage, Composer, Big Query and workflow management services like Apache Airflow, to create and manage data pipelines effectively.
- Data Security: Implement security and compliance measures to protect sensitive data and ensure data privacy using encryption (at rest, in transit and in use), data masking etc.
- Performance Optimization: Identify and resolve performance bottlenecks, ensuring optimal data processing and storage.
- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and provide data support for analytics and reporting.
- Documentation: Maintain comprehensive documentation of data pipelines, processes, and systems for knowledge sharing and troubleshooting.
- Automation: Implement automation and monitoring tools to streamline data operations and detect and resolve issues proactively.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree preferred).
- Proven experience as a Cloud Data Engineer or similar role.
- Strong knowledge of services provided by Google Cloud Platform.
- Proficiency in programming languages (e.g., Python, Java, Scala) for ETL processes.
- Experience with data warehousing using Google Big Query and data modeling.
- Excellent problem-solving skills and attention to detail.
- Strong communication and teamwork skills.
- Cloud certifications (e.g., GCP certified, Google Data Engineer) are a plus.
Privacy Notice to California Applicants
At LG, we aspire to empower people and celebrate differences because we believe diversity will create the unexpected. We provide equal employment opportunity to all individuals regardless of their race, color, creed, religion, gender, age, sexual orientation, national origin, disability, veteran status, or any other characteristic protected by state, federal, or local law. Consistent with our commitment to providing equal opportunity and embracing diversity, LG has implemented affirmative action to ensure applicants are employed and employees are treated without regard to these characteristics.
In addition to the above, LG believes that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take into account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. While we consider geographic pay differentials in final offers, because we operate in many geographies where applicable, the salary range listed may not reflect all geographic differentials applied
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