Senior Data Engineer_Los Angeles, CA

Los Angeles, CA, US • Posted 1 day ago • Updated 1 day ago
Contract Corp To Corp
Contract Independent
Contract W2
No Travel Required
On-site
Depends on Experience
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Job Details

Skills

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

Summary

Role : Senior Data Engineer --Nag Sir 
Location : Los Angeles, CA

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
•  11 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: 8934459
  • Posted 1 day 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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