Data Engineering Technical Lead, Samsung TV Plus

Position Summary

Role and Responsibilities

KEY RESPONSIBILITIES

• Create blueprints for data systems including data models schemas and workflows that serve as a roadmap for data engineers
• Define and enforce data standards policies and best practices for data accuracy integrity and security across the organization.
• Oversee the architecture security governance and optimization of the data lake ensuring data quality accessibility and compliance.
• Develop and manage data pipelines that leverage APIs to extract transform and load data from internal and external sources into the data lake.
• Continually evaluate effectiveness of existing workflows systems and integration points versus latest technologies
• Bridge the gap between business stakeholders and data teams by translating complex business requirements into scalable technical data solutions.
• Design and implement robust data integration and transformation processes to ensure seamless governed large volumes of data flows across operational and analytical systems ensuring data availability and reliability.
• Evaluate and recommend appropriate technologies platforms and tools including cloud services (mainly AWS) big data platforms (Hadoop Spark) and databases.
• Drive data quality initiatives by identifying systemic issues and implementing proactive solutions to improve data reliability and usability.
• Automate the deployment and management of data pipelines and related resources using Terraform ensuring efficient and consistent deployments across environments

Skills and Qualifications

QUALIFICATIONS

• Bachelors Degree required. Degree in Engineering or Computer Science preferred
• 10 years of experience in roles like data engineering data architecture which support a large-scale data and services
• Expertise in major cloud platforms such as AWS Azure and Google Cloud along with experience in large-scale data solutions
• Deep understanding of data warehousing ETL/ELT processes SQL and PySpark Python AWS services like Glue Athena Lambda S3
• Strong understanding and practical experience with data modeling creating and managing comprehensive data infrastructure.
• Experience establishing and enforcing frameworks for data governance compliance security and quality standards across enterprise systems.
• Optional qualifications include experience with building data pipelines for ML models familiarity with ML frameworks like TensorFlow or PyTorch and knowledge of MLOps practices.
• Experience in writing maintaining and troubleshooting Terraform configurations and modules for cloud platforms
• Experience collaborating with a globally distributed team

Compensation for this role for candidates based in Mountain View CA is expected to be between $195000 $240000 or based in Los Angeles CA is expected to be between $180000 $220000. Actual pay will be determined considering factors such as relevant skills and experience and comparison to other employees in the role. Regular full-time employees (salaried or hourly) have access to benefits including Medical Dental Vision Life Insurance 401(k) Employee Purchase Program Tuition Assistance (after 6 months) Paid Time Off Student Loan Program (after 6 months) Wellness Incentives and many more.

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