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Urgent Requirement || GCP Data Engineer || Seattle, WA || Need Local || USC/GC || Retail Exp at Seattle, Washington, USA
Email: [email protected]
Hi,

We are looking for 
GCP Data Engineer 

to fill its Long-Term Contract position.  If you are
interested, please reach out to me on 
[email protected]/

9732409524
 to discuss
more about the position .

Role:
GCP Data Engineer 

Location:
Seattle, WA

(GCP, BigQuery, Snowflake, Azure, Delta)

***MUST
HAVE INDUSTRY EXPERIENCE in ECOMMERCE/RETAIL***

**Need
snowflake - to migrate data into snowflake

**experience
with massive amounts of data -- this company has over 13 million users***

**GCP,
Google Analytics, Azure, Pipelines, Delta*

As
an Engineer II, you will bring a high level of technical knowledge, but also an
ability to spread knowledge to your co-workers. You will help form the core of
our engineering practice at the company by contributing to all areas of
development and operations (pre-production to production). You will be an
example of what good engineering looks like and help others around you refine
their skills. You will be part of a day-to-day production release team and may
perform on-call support functions as needed. Having a DevOps mindset is the key
to success in this role, as Engineers are commonly part of full DevOps teams
that own all parts of software development, release pipelines, production
monitoring, security and support.

Data
Engineering Projects

Data
pipeline creation and maintenance. Stack: Google Cloud Platform (GCP),
Azure Cloud, Azure Databricks, Snowflake

Includes
engineering documentation, knowledge transfer to other engineers, future
enhancements and maintenance

Create
secure data views and publish them to the Enterprise Data Exchange via
Snowflake for other teams to consume

Data
pipeline modernization and migration via Databricks Delta Live Tables
(DLT) and Unity Catalog

Leverage
existing CICD process for pipeline deployment

Adhere to
PII encryption and masking standards

Data
Engineering Tools/Techniques

Orchestration
tools- ADF, AirFlow, FiveTran

Languages-
SQL, Python

Data
Modeling- Star and Snowflake Schema

Streaming-
Kafka, EventHub, Spark, Snowflake Streaming

DevOps
Support

Support
improvements to current CICD process

Production
monitoring and failure support

Provide an
escalation point and participate in on-call support rotations

Participate
in discussions on how to improve DevOps

Be aware of
product release and how that impacts our business

Take part in
Agile ceremonies

Perform
engineering assignments using existing procedures and best practices

Conduct
research to aid in product troubleshooting and optimization efforts

Participate
in and contribute to our Engineering Community of Practice

Qualifications:

Completed
Bachelors degree or diploma (or equivalent experience) in Computer
Science, Software Engineering or Software Architecture preferred;
candidates with substantial and relevant industry experience are also
eligible

5+ years of
relevant engineering experience

Google
Professional Data Engineer Certification is preferred

Experience
in Big Table, ClickStream data migration, Semi-Structured and
Un-Structured data management

Experience
with Google GCP and BigQuery

Experience
with developing complex SQL queries

Experience
with CI/CD principles and best practices

Experience
with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage
Accounts.

Experience
working with a Data Engineering team and understanding of Data Engineering
practices.

Ability to
learn, understand, and work quickly with new emerging technologies,
methodologies, and solutions in the Cloud/IT technology space

Experience
with bug tracking and task management software such as JIRA, etc.

Experienced
in managing outages, customer escalations, crisis management, and other
similar circumstances.

--

Keywords: continuous integration continuous deployment information technology Colorado Washington
Urgent Requirement || GCP Data Engineer || Seattle, WA || Need Local || USC/GC || Retail Exp
[email protected]
[email protected]
View All
09:26 PM 07-Mar-25


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