Data Engineer

Glendale, California, United StatesHybridFull TimePosted 2 months agoVisa sponsorship available

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Role summary

We are seeking a Data Engineer with expertise in Python, Spark, Azure Databricks, SQL, AWS, and Airflow. The role requires a strong understanding of cloud providers and infrastructure as code, as well as familiarity with data modeling and data warehousing methodologies. The ideal candidate will possess advanced knowledge of OLTP vs. OLAP environments and strong algorithmic problem-solving skills. This is a hybrid role requiring 2-4 days per week onsite in Glendale, CA.

Top Skills:

Python, Spark, Azure Databricks, Snowflake, complex SQL query, AWS, Airflow

Basic Qualifications:

Experience with Databricks
Experience with Snowflake a plus
Deep Understanding of AWS or other cloud providers as well as infrastructure as code
Familiarity with Data Modeling techniques and Data Warehousing standard methodologies and
practices
Strong algorithmic problem-solving expertise
Excellent written and verbal communication
Advance understanding of OLTP vs OLAP environments
Willingness and ability to learn and pick up new skill sets
Self-starting problem solver with an eye for detail and excellent analytical and communication

Skills:

Strong background in at least one of the following: distributed data processing or software engineering of data services, or data modelling.
Familiar with Scrum and Agile methodologies
Bachelor’s degree in computer science, Information Systems equivalent industry experience

Additional Information:

Onsite 2-4 days per week in Glendale, CA/ LA, CA
3 to 4 rounds of interviews will take place for this role.

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