Engineer II, Data Analytics
The Skills You Bring (Qualifications):
- BS in Computer Science or related field (Master’s in Data Analytics or Computer Science preferred)
- 3+ years of experience in the data and analytics space.
- 3+ years of RDBMS concepts with strong data analysis and SQL experience.
- Must have strong SQL - specifically advanced SQL and optimization of complex queries.
- Ability to wrangle data across RDBMS without losing data integrity in many-to-many joins across numerous tables.
- Great communication skills and business acumen (Understanding of retail data is preferred).
- Ability to collaborate with business stakeholders and help design data-centric solutions.
- Ability to work independently to discover data, understand data relationship, and deliver in support of the analytics business team.
- Team player who is willing to collaborate with team mates as needed to meet the deliverable due dates & work with offshore resources (as needed).
- Basic Python Skills
Preferred Skills:
- 1+ years of Linux OS command line tools and bash scripting familiarity.
- Working knowledge using Python, Spark, Airflow, Hive, Snowflake and AWS services.
- Knowledge of data engineering aspects within machine learning pipelines (e.g., train/test splitting, scoring process, etc.).
- GitHub or code versioning experience.