Overview
Hybrid
Depends on Experience
Full Time
Skills
Snowflakes
Data bricks
Airflow
SQL
Python and pyspark
Job Details
Role: Senior Data Engineer
Location: Seattle, Santa Monica, Bristol or NYC preferred. (Only Local profiles - 4 days in office)
Skills Snowflakes, Data bricks, Airflow, SQL, Python and pyspark
Full Time
Basic Qualifications
- 3+ years of relevant data engineering experience.
- Strong understanding of data modeling principles including Dimensional modeling, data normalization principles.
- Good understanding of SQL Engines and able to conduct advanced performance tuning.
- Ability to think strategically, analyze and interpret market and consumer information.
- Strong communication skills written and verbal presentations.
- Excellent conceptual and analytical reasoning competencies.
- Comfortable working in a fast-paced and highly collaborative environment.
- Familiarity with Agile Scrum principles and ceremonies
Preferred Qualifications
- Some experience implementing and reporting on business key performance indicators in data warehousing environments, required.
- Some experience using analytic SQL, working with traditional relational databases and/or distributed systems (Snowflake or Redshift), required.
- 1+ years of experience programming languages (e.g. Python, Pyspark), preferred.
- 1+ years of experience with data orchestration/ETL tools (Airflow, Nifi), preferred.
- Experience with Snowflake, Databricks/EMR/Spark, and/or Airflow.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.