Responsibilities include but not limited to:
- Design, develop, implement, test, and operate large-scale, high-volume, high-performance data structures for analytics and Reporting.
- Implement data structures using best practices in data modeling, ETL processes, and SQL, AWS – Redshift, and OLAP technologies, Model data and metadata for ad hoc and pre-built reporting.
- Work with product tech teams and build robust and scalable data integration (ETL) pipelines using SQL, Python and Spark.
- Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
- Interface with business customers, gathering requirements and delivering complete reporting solutions.
- Collaborate with Analysts, Business Intelligence Engineers, SDEs, and Product Managers to implement algorithms that exploit rich data sets for statistical analysis, and machine learning.
- Communicate effectively with product/business/tech-teams/other Data teams.

BASIC QUALIFICATIONS

- 1+ years of data engineering experience
- Experience with SQL
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
- Experience with one or more scripting language (e.g., Python, KornShell)