Data Engineer

• Work with the Survey Data and and the Marketing Data Science team, translating their needs into tangible analytical solutions
• to improve marketing efficacy by providing impactful insights through streamlined and automated reporting
• Design and Develop data models, pipelines, dashboards, and other analytic solutions to support Meta's Marketing programs and campaigns
• Solve data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques
• sourcing from structured and unstructured data sources
• Collaborate with engineers, data scientists and marketers to understand data needs, representing key data insights in a meaningful way
• Conceptualize data architecture for large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
• Implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues

• ETL, SQL, Python Data modelling
• data visualisation and data warehouse
• Should be able to work with data engineers, scientists and analytics, * bachelor's degree in computer science, Computer Engineering, relevant technical

field, or equivalent 5 years of experience where the primary responsibility involves working with data.

• This could include roles such as data analyst, data scientist, data engineer, or similar positions
• 5 years of experience with SQL, ETL, data modeling, data visualization and at least one programming language (Python is preferred)
• Experience working in Marketing Analytics or Marketing Technology is preferred.