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Data Engineer Jobs

Company

SnapX.ai

Address Hydesville, CA, United States
Employment type CONTRACTOR
Salary
Category IT Services and IT Consulting
Expires 2024-01-25
Posted at 9 months ago
Job Description

Job Role : Data Engineer 
Location : LA, CA - Onsite
Job description : 


The role will collaborate with a cross-functional team to provide data solutions with engineering, marketing, merchandising, and executive teams.


* Contribute to technology selection and strategy for big data solutions

* Build, test, and operate stable, scalable data pipelines that cleanse, structure, and integrate disparate data sets into a readable and accessible format for end-user-facing reports, data sciences, and ad-hoc analyses

* Create data pipelines to handle data ingestion in a way that is both rapidly available and fault tolerant

* Support AI/Machine Learning Initiatives to drive value for consumers and internal stakeholders

* Review and contribute to technical documentation

* Knowledge sharing and coaching

* Lead the onboarding of new data engineers

Required : 

 Bachelor's degree in Computer Science, Engineering, or a related technical field (Or equivalent knowledge/experience)

* A minimum of 5 years of Object Oriented Programming (OOP) and/or functional programming experience/education

* Familiarity with Cloud Big Data Solutions (EMR, Redshift, Big Query, Azure Data Pipelines, Azure Datawarehouse, etc.)

* Familiarity with Apache Suite for Big Data Architecture (Spark, Akka, Cassandra, Kafka)

* Strong experience in data engineering and data pipeline development in a cloud-based environment, preferably using services such as FiveTran, AWS Glue, and Redshift Spectrum.

* Knowledge of Python programming language

* Familiarity with Lambda Architecture concepts and tooling options

* Proficiency in SQL and experience working with relational databases and data warehousing concepts.

* Hands-on experience with dbt (Data Build Tool) or similar data transformation and engineering tools.

* Familiarity with data governance, data security, and compliance practices.

* Solid understanding of data modeling and database design principles.

* Experience with performance tuning and optimization of data pipelines and database queries.

* Ability to thrive in a fast-paced environment and master frequently changing technologies and techniques