Sr. Data Engineer - Los Angeles, CA, Onsite. Must be Google Cloud Professional Data Engineer certified and aslo need skills Databricks Apache Beam, Atlassian tools Jira Confluence, Google Cloud Platform pipelines, Python, SQL Big Query Dataflow, Apache Airflow Cloud Composer orchestration experience, Docker Kubernetes

Los Angeles, CA, US • Posted 2 hours ago • Updated 2 hours ago
Contract W2
Contract Corp To Corp
Contract Independent
On-site
Depends on Experience
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Job Details

Skills

  • Analytics
  • Apache Airflow
  • Apache Beam
  • Atlassian
  • Automated Testing
  • Cloud Computing
  • Collaboration
  • Communication
  • Confluence
  • Data Engineering
  • Data Flow
  • Data Modeling
  • Data Quality
  • Databricks
  • Decision-making
  • Design Patterns
  • Docker
  • Good Clinical Practice
  • Google Cloud
  • Google Cloud Platform
  • JIRA
  • Kubernetes
  • LOS
  • Orchestration
  • Python
  • SQL
  • Snow Flake Schema
  • Storage
  • Technical Writing
  • Workflow

Summary

About the Role

The Senior Data Engineer Consultant is responsible for designing building and optimizing scalable data pipelines and
architectures that deliver high-quality reliable and governed data for analytics and decision-making In this role you will
closely collaborate with product analytics and infrastructure teams to create automated maintainable and high performing
data systems within cloud environments Success in this position requires deep technical expertise in data modeling data
engineering design patterns and cloud native technologies The ideal candidate demonstrates a strong architectural mindset
maintains exceptional coding standards and possesses excellent written and verbal communication skills enabling effective
collaboration with both engineering and business stakeholders

Key Responsibilities

Design develop and maintain scalable Google Cloud Platform data pipelines using Big Query Dataflow and PubSub
Architect efficient ETLELT processes and data modeling star snowflake data vault
Collaborate with analytics teams to optimize data ingestion transformation and storage
Implement Apache Airflow Cloud Composer orchestration for complex workflows
Develop monitoring alerting and data quality frameworks
Conduct code reviews and create comprehensive technical documentation
Build automated testing and validation pipelines

Required Qualifications

Bachelors or Masters in CS Data Engineering or related
7 yrs data engineering 5 yrs Google Cloud Platform Handson Expertise in Python advanced SQL Big Query Dataflow
Apache Airflow Cloud Composer orchestration experience
Strong data modeling and design patterns
Docker Kubernetes deployment experience
Exceptional communication skills

Preferred Qualifications

Google Cloud Professional Data Engineer certified
Databricks Apache Beam experience
Media entertainment or enterprise analytics experience
Atlassian tools Jira Confluence
What Makes You Successful Here
Communicate clearly across audiences
Own end to end Google Cloud Platform pipeline delivery
Document comprehensively for handover
Drive independently while collaborating

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10423210A
  • Position Id: 8937731
  • Posted 2 hours ago

Company Info

About Keylent

We established Keylent to provide the Key Talent that our clients seek. We are all about People. About Passion. Professional and Process driven.



We have been involved with the industry for over 2 decades and have seen the up's and down's. We have weathered bad times and enjoyed good times by putting our client needs ahead of ours. We continue to do the same thing.



We take great care of our Talent Acquisition and Administrative staff who in turn put in their best work to fulfill our Consultant and Client needs.



Our Clients and our Consultants have a variety of choices and we are thankful that they have chosen Keylent.


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