Senior Data Engineer

Data Engineer Responsibilities: Partner with leadership, engineers, program managers and data scientists to understand data needs. Design, build and launch extremely efficient and reliable data pipelines to move data across a number of platforms including Data Warehouse, online caches and real-time systems. Communicate, at scale, through multiple mediums: Presentations, dashboards, company-wide datasets, bots and more. Educate your partners: Use your data and analytics experience to 'see what's missing', identifying and addressing gaps in their existing logging and processes. Leverage data and business principles to solve large scale web, mobile and data infrastructure problems. Build data expertise and own data quality for your areas. Minimum Qualifications: 5+ years of Python development experience. 5+ years of SQL experience. 3+ years' experience with Data Modeling. 5+ years' experience in custom ETL design, implementation and maintenance. Preferred Qualifications: Experience with more than one coding language. Experience with designing and implementing real-time pipelines. Experience with data quality and validation. Experience with SQL performance tuning and E2E process optimization. Experience with anomaly/outlier detection. Experience with notebook-based Data Science workflow. Experience with Airflow. Experience querying massive datasets using Spark, Presto, Hive, Impala, etc.