What are the responsibilities and job description for the Sr. Data Engineer position at Marici Solutions?
Job Details
Title: Sr. Data Engineer
Location: Glendale CA
Onsite: Yes, 2 days a week, and should be open 4 days a week
Full Time
Additional Information
Tech Stack:
Airflow, Spark, Data Brick, Snowflake, Deltalake, Kafka
A team member will support the implementation of the Studio Data and AI Platform
JD:
Basic Qualifications
7 years of data engineering experience developing large data pipelines
Proficiency in at least one major programming language (e.g. Python,Java, Kotlin)
Strong SQL skills and ability to create queries to analyze and extract complex datasets
Hands-on production environment experience with distributed processing systems such as Spark
Hands-on production experience with data pipeline orchestration systems such as Airflow for
creating and maintaining data pipelines
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 modeling
Graph Database experience a plus
Realtime Event Streaming experience a plus
Familiar with Scrum and Agile methodologies
Bachelor s Degree in Computer Science, Information Systems equivalent industry experience
