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Looking for Senior Data Engineer with Data Science EXP - Location: Indianapolis (preferred) and 2nd option is Richardson, Texas at Richardson, Texas, USA

Email: [email protected]

http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2144099&uid=

Hi Vendors,

Hope you are doing well

Please share resumes, Linkedin and visa
Senior Data Engineer with Data Science EXP
Location: Indianapolis (preferred) and 2nd option is Richardson, Texas (LOCALS Only)

Experience Required: 10+ years
NO OPT/CPT

Job Description:

We are looking for a highly experienced Senior Data
Engineer/Data Scientist to join our team. The ideal candidate will possess a
deep understanding of data engineering principles, data science methodologies,
and advanced analytics. This role requires expertise in big data technologies,
data modeling, machine learning, and cloud computing solutions, along with a
proven track record of delivering impactful data-driven insights.

Key Responsibilities:

Data Engineering:

Design, build, and
maintain scalable data pipelines using modern ETL frameworks.

Implement data models
and architectures to support data processing and analytics.

Optimize data storage
solutions in cloud environments (e.g., AWS, Azure, Google Cloud) for
performance and scalability.

Ensure data quality,
integrity, and security throughout the data lifecycle.

Data Science &
Analytics:

Develop and deploy
machine learning models to solve complex business problems and enhance
decision-making.

Conduct exploratory
data analysis to uncover trends, patterns, and insights from large
datasets.

Collaborate with
business stakeholders to define analytical requirements and deliver
actionable insights.

Communicate findings
and recommendations clearly to both technical and non-technical
audiences.

Collaboration &
Leadership:

Lead cross-functional
teams in the design and implementation of data-driven solutions.

Mentor and coach junior
data engineers and data scientists, fostering a culture of learning and
innovation.

Drive data strategy
initiatives and contribute to the establishment of best practices in data
engineering and data science.

Research &
Development:

Stay up-to-date with
the latest advancements in data science, machine learning, and big data
technologies.

Experiment with new
tools and methodologies to continuously improve data processes and
analytics capabilities.

Required Qualifications:

Bachelors or Masters
degree in Computer Science, Data Science, Statistics, or a related field.

10+ years of experience
in data engineering, data science, or a related field.

Strong expertise in
programming languages such as Python, R, or Java.

Proficiency in big data
technologies (e.g., Hadoop, Spark) and data processing frameworks.

Deep understanding of
machine learning algorithms and frameworks (e.g., TensorFlow,
Scikit-learn).

Experience with cloud
platforms (e.g., Azure, AWS, Google Cloud) and data warehousing solutions
(e.g., Snowflake, Redshift).

Preferred Qualifications:

Advanced certifications
in data engineering, data science, or cloud technologies (e.g., Google
Cloud Professional Data Engineer, Microsoft Certified: Azure Data
Scientist Associate).

Experience with
containerization and orchestration tools (e.g., Docker, Kubernetes).

Familiarity with data
governance, data privacy laws, and compliance standards.

--

Keywords: rlang information technology
Looking for Senior Data Engineer with Data Science EXP - Location: Indianapolis (preferred) and 2nd option is Richardson, Texas
[email protected]
http://bit.ly/4ey8w48
https://jobs.nvoids.com/job_details.jsp?id=2144099&uid=

[email protected]
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01:54 AM 05-Feb-25

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chase4wilson@gmail.com wrote:
Hi Vendors,

Hope you are doing well

Please share resumes, Linkedin and visa
Senior Data Engineer with Data Science EXP 
 Location: Indianapolis (preferred) and 2nd option is Richardson, Texas  (LOCALS Only)

Experience Required: 10+ years
NO OPT/CPT

Job Description:

We are looking for a highly experienced Senior Data
Engineer/Data Scientist to join our team. The ideal candidate will possess a
deep understanding of data engineering principles, data science methodologies,
and advanced analytics. This role requires expertise in big data technologies,
data modeling, machine learning, and cloud computing solutions, along with a
proven track record of delivering impactful data-driven insights.

Key Responsibilities:

Data Engineering:

Design, build, and
      maintain scalable data pipelines using modern ETL frameworks.

Implement data models
      and architectures to support data processing and analytics.

Optimize data storage
      solutions in cloud environments (e.g., AWS, Azure, Google Cloud) for
      performance and scalability.

Ensure data quality,
      integrity, and security throughout the data lifecycle.

Data Science &
     Analytics:

Develop and deploy
      machine learning models to solve complex business problems and enhance
      decision-making.

Conduct exploratory
      data analysis to uncover trends, patterns, and insights from large
      datasets.

Collaborate with
      business stakeholders to define analytical requirements and deliver
      actionable insights.

Communicate findings
      and recommendations clearly to both technical and non-technical
      audiences.

Collaboration &
     Leadership:

Lead cross-functional
      teams in the design and implementation of data-driven solutions.

Mentor and coach junior
      data engineers and data scientists, fostering a culture of learning and
      innovation.

Drive data strategy
      initiatives and contribute to the establishment of best practices in data
      engineering and data science.

Research &
     Development:

Stay up-to-date with
      the latest advancements in data science, machine learning, and big data
      technologies.

Experiment with new
      tools and methodologies to continuously improve data processes and
      analytics capabilities.

Required Qualifications:

Bachelors or Masters
     degree in Computer Science, Data Science, Statistics, or a related field.

10+ years of experience
     in data engineering, data science, or a related field.

Strong expertise in
     programming languages such as Python, R, or Java.

Proficiency in big data
     technologies (e.g., Hadoop, Spark) and data processing frameworks.

Deep understanding of
     machine learning algorithms and frameworks (e.g., TensorFlow,
     Scikit-learn).

Experience with cloud
     platforms (e.g., Azure, AWS, Google Cloud) and data warehousing solutions
     (e.g., Snowflake, Redshift).

Preferred Qualifications:

Advanced certifications
     in data engineering, data science, or cloud technologies (e.g., Google
     Cloud Professional Data Engineer, Microsoft Certified: Azure Data
     Scientist Associate).

Experience with
     containerization and orchestration tools (e.g., Docker, Kubernetes).

Familiarity with data
     governance, data privacy laws, and compliance standards.

Keywords: rlang information technology 
Looking for Senior Data Engineer with Data Science EXP - Location: Indianapolis (preferred) and 2nd option is Richardson, Texas
chase4wilson@gmail.com

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