Meta Platforms, Inc. (Meta) is looking to solve the problem of building the next evolution in social technology by moving beyond 2D screens toward immersive experiences like augmented and virtual reality. This requires robust data infrastructure and tools to generate business insights and support data-driven decisions for product and business teams.
Requirements
- Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
- Programming in Python
- Writing SQL statements
- Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
- Data warehousing architecture and plans
- Informatica, dimensional data modeling, or schema design
- Map Reduce or MPP system
Responsibilities
- Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.
- Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.
- Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.
- Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.
- Design, develop, test, and launch new data models and processes into production, and provide support.
- Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
- Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.
Other
- Master’s degree (or foreign degree equivalent ) in Computer Science, Engineering, Mathematics, Physics, or related field.
- Requires 2 years of experience in the job offered or in a related occupation
- Individual compensation is determined by skills, qualifications, experience, and location.
- Meta is proud to be an Equal Employment Opportunity employer.
- Meta is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.
