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Form of workCloud Data Engineering Analyst
Our Mission is to be #1 by creating a better life for our customers. At LG Electronics, we make products and services that make lives better, easier and happier through increased functionality and fun. Put simply, we offer the latest innovations to make "Life Good"! As a global leader, we strive for greatness not only in the products we make but in our people. That is why we are currently seeking the newest innovator to join our dynamic team as Data Scientist located in Englewood Cliffs, NJ. This role is onsite in our NJ office.
Working at LG Electronics offers numerous benefits, and opportunities for professional growth. With a diverse range of products and services, LG provides a dynamic and innovative work environment. Employees at LG can expect to work with cutting-edge technologies and collaborate with talented individuals from diverse backgrounds. LG emphasizes a culture of continuous learning and development, providing employees with resources and training to enhance their skills and stay ahead in their respective fields. Furthermore, LG places importance on work-life balance, employee well-being, and offers competitive compensation packages. Joining LG means being part of a forward-thinking organization that strives for excellence and offers exciting opportunities for personal and professional success.
In this role you will be working on our Analytics, Insights and Data Sciences (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.
Job Title: Cloud Data Engineer (Google Cloud Platform)
We are seeking a skilled and motivated Cloud Data Engineer 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.
Job Summary:
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.
Key Responsibilities:
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:
o Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree preferred).
o Proven experience as a Cloud Data Engineer or similar role.
o Strong knowledge of services provided by Google Cloud Platform.
o Proficiency in programming languages (e.g., Python, Java, Scala) for ETL processes.
o Experience with data warehousing using Google Big Query and data modeling.
o Excellent problem-solving skills and attention to detail.
o Strong communication and teamwork skills.
o Cloud certifications (e.g., GCP certified, Google Data Engineer) are a plus.
In addition to the above, we believe that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take in account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. We consider geographic pay differentials in final offers. Because we operate in many geographies and have many business units across the United States, where applicable, may not reflect the specific business or geography differential that will apply to the final offer.
At LG Electronics, 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 or other protected traits/characteristics. Consistent with our commitment to providing equal opportunity and embracing diversity, we have implemented affirmative action to ensure applicants are employed and employees are treated without regard to these characteristics.
Our Mission is to be #1 by creating a better life for our customers. At LG Electronics, we make products and services that make lives better, easier and happier through increased functionality and fun. Put simply, we offer the latest innovations to make "Life Good"! As a global leader, we strive for greatness not only in the products we make but in our people. That is why we are currently seeking the newest innovator to join our dynamic team as Data Scientist located in Englewood Cliffs, NJ. This role is onsite in our NJ office.
Working at LG Electronics offers numerous benefits, and opportunities for professional growth. With a diverse range of products and services, LG provides a dynamic and innovative work environment. Employees at LG can expect to work with cutting-edge technologies and collaborate with talented individuals from diverse backgrounds. LG emphasizes a culture of continuous learning and development, providing employees with resources and training to enhance their skills and stay ahead in their respective fields. Furthermore, LG places importance on work-life balance, employee well-being, and offers competitive compensation packages. Joining LG means being part of a forward-thinking organization that strives for excellence and offers exciting opportunities for personal and professional success.
In this role you will be working on our Analytics, Insights and Data Sciences (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.
Job Title: Cloud Data Engineer (Google Cloud Platform)
We are seeking a skilled and motivated Cloud Data Engineer 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.
Job Summary:
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.
Key Responsibilities:
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:
o Bachelor's degree in Computer Science, Information Technology, or a related field (Master's degree preferred).
o Proven experience as a Cloud Data Engineer or similar role.
o Strong knowledge of services provided by Google Cloud Platform.
o Proficiency in programming languages (e.g., Python, Java, Scala) for ETL processes.
o Experience with data warehousing using Google Big Query and data modeling.
o Excellent problem-solving skills and attention to detail.
o Strong communication and teamwork skills.
o Cloud certifications (e.g., GCP certified, Google Data Engineer) are a plus.
In addition to the above, we believe that pay transparency is a key part of diversity, equity, and inclusion. Our salary ranges take in account many factors in making compensation decisions including but not limited to skillset, experience, licensure, certifications, internal equity, and other business needs. We consider geographic pay differentials in final offers. Because we operate in many geographies and have many business units across the United States, where applicable, may not reflect the specific business or geography differential that will apply to the final offer.
At LG Electronics, 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 or other protected traits/characteristics. Consistent with our commitment to providing equal opportunity and embracing diversity, we have implemented affirmative action to ensure applicants are employed and employees are treated without regard to these characteristics.
