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Data Engineer

In California / United States

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Data Engineer   

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JOB TITLE:

Data Engineer

JOB TYPE:

JOB SKILLS:

JOB LOCATION:

San Francisco California / United States

JOB DESCRIPTION:

Job Title: Data Engineer

Location: SFO Bay area, CA / Jersey City, NJ (ok with remote as of now)

Duration: 6+ Months C2C

3 Roles opening

Expectation is resources should be working from office post Covid.
If we have that agreement should be ok.

A Full Stack Engineer with deep understanding of Data Science and Software Engineering practices.

Job Responsibilities:

  • Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.
  • Design and implement Machine learning models and data ingestion pipelines.
  • Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models.
  • Expand and optimize data pipelines, data flow, and collection for cross functional teams.
  • Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements.
  • Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
  • Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.
  • Implement Machine Learning (ML) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS Sage Maker environment
  • Experience in container, streaming and messaging technologies is a plus.

Qualification:

  • Bachelor's degree in computer science, data science, mathematics, or a related field.
    Master's degree preferred.
  • At least two years' experience as a machine learning engineer.
  • Advanced proficiency with Python framework, Java and Scala
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • Good understanding of mathematics, statistics, and algorithms.
  • Excellent analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Need a person from Banking and financial services for this role with lending experience and solution architecture experience.

We EMBTEL, Inc one of the fastest growing IT Consulting Company in the US.
We are U.
S.
Federal Govt.
approved vendor and Certified Minority Business Enterprise (MBE) company.
We have an urgent requirement with our client/Implementation partner.
(https://embtel.
com/careers/)

Position Details

POSTED:

Apr 17, 2021

EMPLOYMENT:

INDUSTRY:

SNAPRECRUIT ID:

S16174668802629318

LOCATION:

California / United States

CITY:

San Francisco

Job Origin:

CEIPAL_ORGANIC_FEED

A job sourcing event
In Dallas Fort Worth
Aug 19, 2017 9am-6pm
All job seekers welcome!

Data Engineer    Apply

Click on the below icons to share this job to Linkedin, Twitter!

Job Title: Data Engineer

Location: SFO Bay area, CA / Jersey City, NJ (ok with remote as of now)

Duration: 6+ Months C2C

3 Roles opening

Expectation is resources should be working from office post Covid. If we have that agreement should be ok.

A Full Stack Engineer with deep understanding of Data Science and Software Engineering practices.

Job Responsibilities:

  • Strong computer science fundamentals such as algorithms, data structures, multithreading, object-oriented development, distributed applications, client-server architecture.
  • Design and implement Machine learning models and data ingestion pipelines.
  • Develop and support a platform that enables data scientists to rapidly develop, train, and experiment with machine learning models.
  • Expand and optimize data pipelines, data flow, and collection for cross functional teams.
  • Create and maintain optimal data pipeline architecture by assembling large, complex data sets to meet functional and non-functional business requirements.
  • Identify and implement internal process improvements including automating manual processes, optimizing data delivery, and redesigning infrastructure for greater scalability.
  • Support the building of machine learning, data platforms, and infrastructure required for optimal data extraction, transformations, and loading of data from a wide variety of data sources.
  • Work with architecture, data, and design teams to assist with data related technical issues and support data infrastructure needs.
  • Implement Machine Learning (ML) and Big Data platforms in Hybrid and multi-cloud environment specifically in AWS Sage Maker environment
  • Experience in container, streaming and messaging technologies is a plus.

Qualification:

  • Bachelor's degree in computer science, data science, mathematics, or a related field. Master's degree preferred.
  • At least two years' experience as a machine learning engineer.
  • Advanced proficiency with Python framework, Java and Scala
  • Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
  • Good understanding of mathematics, statistics, and algorithms.
  • Excellent analytical and problem-solving abilities.
  • Great communication and collaboration skills.
  • Need a person from Banking and financial services for this role with lending experience and solution architecture experience.

We EMBTEL, Inc one of the fastest growing IT Consulting Company in the US. We are U.S. Federal Govt. approved vendor and Certified Minority Business Enterprise (MBE) company. We have an urgent requirement with our client/Implementation partner. (https://embtel.com/careers/)


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