• Design and construct data integration and ETL pipelines to centralize multiple media data sources.
• Automate data transformation processes to update media dashboards and reports.
• Utilize AWS and Snowflake for cloud-based data solutions.
• Develop data integrations using API connection.
• Maintain and Optimize data flow and collection to support data-driven decision-making.
• Implement and manage data warehousing solutions.
• Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
• Stay current with industry trends and technologies, and evaluate new software, tools, and methodologies to drive continuous improvement.

• Proven experience with AWS, Snowflake, Python and SQL.
• Familiarity with workflow management tool such as Apache Airflow.
• Experience with data visualization and business intelligence tools such as DOMO and Google Looker Studio.
• Experience in Data Science, machine learning algorithms and LLM is a preference.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to work independently and in a team environment.

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3 years of experience in a Data Engineer or Data Architect role.
• Ability to work collaboratively in a fast-paced and dynamic team environment and contribute to team objectives.
• Self-motivated and proactive with a strong desire to learn and grow in the field of data engineering and date science.

Department: digital
This is a full time position