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. The company needs data engineers to design, build, and launch data pipelines and tools that generate business insights for their products and help product and business teams make data-driven decisions.
Requirements
- Data ETL (Extract, Transform, Load), design, implementation, and maintenance on a large scale
- Programming in Perl or Python
- Programming in Java
- Writing SQL statements
- Data warehousing architecture and plans
- Informatica
- Dimensional data modeling
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
- 3 years of experience in the job offered or in a computer-related occupation
- Bachelor’s degree (or foreign degree equivalent) in Computer Science, Engineering, Information Systems, Business Administration, Analytics, Statistics, Mathematics, or a related field
- Identify data infrastructure issues and drive to resolution.
- Offer support for end users on data usage.
- Meta is proud to be an Equal Employment Opportunity employer.
