Meta Platforms, Inc. (Meta) is looking to build the next evolution in social technology by moving beyond 2D screens toward immersive experiences like augmented and virtual reality. This role aims to support this vision by designing, building, and launching data pipelines and tools that generate business insights for products and help teams make data-driven decisions.
Requirements
- Data ETL (Extract, Transforms, 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
- Map Reduce
- Hadoop, or Hive
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 equivalent) in Computer Science, Engineering, Mathematics, Analytics or related field and 1 year of experience in the job offered or 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.
