Meta

Data Engineer

Job description

Every month, billions of people leverage Meta products to connect with friends and loved ones from across the world, and the Meta Business Group (MBG) helps small-to-large businesses, organizations, developers, creators, and other partners engage those people.MBG is looking for exceptionally talented and experienced Data Engineers to join the Business Products Engineering (BPE) team. Our team provides analytics and workflow tools for MBG, engaging with Sales, Marketing, Partnerships, Measurement, support, and operations teams. We also work with leading content creators, publishers, and businesses in entertainment, sports, news, and many other domains.As a highly collaborative organization, our data engineers work cross-functionally with software engineering, data science, and product management to optimize growth, strategy, and experience for over three billion users, as well as our internal employee communities.In this role, you will see a direct correlation between your work, company growth, and our partners’ satisfaction. Beyond this, you will work with some of the brightest minds in the industry, and you'll have a unique opportunity to solve some of the most interesting data challenges with efficiency and integrity, at a scale few companies can match. As we continue to expand and create, we have a lot of exciting work ahead of us!


Data Engineer Responsibilities:


  • Architect build and launch new data models that provide intuitive analytics
  • Build data expertise and own data quality for allocated areas of ownership
  • Define and manage SLA for data sets within your domain
  • Design, build and launch extremely efficient and reliable data pipelines (ETL) to move data across a number of platforms including the data warehouse, online caches and real-time systems
  • Educate your partners: Use your data and analytics experience to ‘see what’s missing,’ identifying and addressing gaps in their existing systems and processes
  • Identify the data needed for a business problem and implement logging required to ensure availability of data, while working with data infrastructure to triage issues and resolve
  • Lead, influence and set direction on domain areas as a subject matter expert to drive solutions on complex and strategic problems
  • Manage the delivery of high impact dashboards, tools and data visualizations
  • Partner with internal stakeholders to understand business requirements, work with cross-functional data and products teams and build efficient and scalable data solutions


Minimum Qualifications:


  • 2+ years of experience in the data warehouse space, custom ETL design, implementation and maintenance
  • Experience in leading data driven projects from definition through interpretation and execution
  • Experience analyzing data to discover opportunities and address gaps
  • Experience with data architecture, data modeling, schema design and software development
  • Experience working with cloud or on-prem Big Data/MPP analytics platform (i.e., Netezza, Teradata, AWS Redshift, Google BigQuery, Azure Data Warehouse, or similar)
  • 2+ years of experience in SQL or similar languages, and development experience in at least one language (Python, PHP etc.)


Preferred Qualifications:


  • Experience with data quality and validation
  • Experience with Airflow
  • Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.
  • Experience with more than one coding language
  • Experience with SQL performance tuning and E2E process optimization
  • Experience with designing and implementing real-time pipelines

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