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Data Engineer (GCP, Big Query, Snowflake, Azure, Delta) at Seattle, Washington, USA
Email: [email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2238409&uid=

From:

Sajjad,

RCI

[email protected]

Reply to:   [email protected]

Need 10 Years : Need Local DL:
Visa No H1B/OPT/CPT

Role - Data Engineer (GCP, Big Query, Snowflake, Azure, Delta)

Location Seattle, WA (Hybrid) Local only

Duration 12+ months

***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.

Regards,

Sajjad

Sr. Executive Talent Acquisition

| E-mail: [email protected]

Keywords: continuous integration continuous deployment information technology Colorado Washington
Data Engineer (GCP, Big Query, Snowflake, Azure, Delta)
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2238409&uid=
[email protected]
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11:22 PM 07-Mar-25


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Location: Seattle, Washington