Job Description:
Job Title - Data Engineer Location: Seattle, Santa Monica, New York, or San Francisco/Onsite/ Hybrid 4 days per weekType: FulltimeType: FulltimeKey Points:
- Experience with Scala or Python?
- DataBricks/Hadoop
- Spark
- AIrflow
- SQL
- Experience with Snowflake and how have you used it in past projects
- Experience in data modelling
- Are they open for the HackerRank test
Basic Qualifications:
- 5+ 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 -
- 2+ years of work experience implementing and reporting on business key performance indicators in data warehousing environments, required.
- 2+ years of 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.
- Required Education - Degree in computer science, information systems
Additional Information - Onsite/ Hybrid 4 days per week - in order of preference:
Seattle, Santa Monica, New York or San Francisco.
Intake Notes:
- Development experience with Airflow, Snowflake, and Databricks.
- At least five years of relevant recent experience with the mentioned tech stack.
- Proficiency in Python, as the interview process includes a Python coding test on HackerRank.