Key job responsibilities
Key job responsibilities
Core Responsibilities includes but not restricted to:
§ Interfacing with business customers, gathering requirements and delivering complete BI solutions to drive insights and inform product, operations, and marketing decisions.
§ Interfacing with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL (Redshift, Oracle) and ability to use a programming and/or scripting language to process data for modeling
§ Evolve organization wide Self-Service platforms
§ Building metrics to analyze key inputs to forecasting systems
§ Leading complex analytical deep dives (Segmentation, A/B testing)
§ Recognizing and adopting best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation

BASIC QUALIFICATIONS

- Bachelor's degree or higher in a quantitative/technical field (e.g. Computer Science, Statistics, Engineering)
- 8+ years of relevant experience in Data engineering, database engineering, business intelligence or business analytics
- 6+ years of hands-on experience in writing complex, highly-optimized queries across large data sets
- 2+ years of experience in scripting languages like Python etc.
- Demonstrated strength in data modeling, ETL development, and Data warehousing
- Experience with Big Data Technologies (Hadoop, Hive, Pig, Spark, etc.)
- Experience in working and delivering end-to-end projects independently
- Knowledge of distributed systems as it pertains to data storage and computing

PREFERRED QUALIFICATIONS

- Proven success in communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and data engineering strategy
- Experience providing technical leadership and mentoring other engineers for best practices on data engineering
- Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
- Masters in computer science, mathematics, statistics, economics, or other quantitative fields.