Data Scientist (Big Data Engineer)

Hello,
Hope this email finds you well.
This is Azam from Largeton Inc. please check below and let me know your words.
Hope to hear from you soon.

 

Job Title:                      Data Scientist (Big Data Engineer)

Location:                      Austin, TX (Remote)

Duration/Type:           Contract

Visa:                              USC, GC

3 professional references

  1. Who has strong experience in Snowflake and SAS Viya.
  2. Must have 13+ Years of Experience.
  3. First priority will be Local to TX .
  4. Position will be on remote
  5. Must have any Gov./State Clients Working experience.
  6. Due Date: 15 Jun
  7. Duration: 2-6 Months (with possible extension)

 

 

Seeking a dynamic and visionary Data Scientist to join our team and support our System Modernization efforts for the Child Support Division. This individual must be able to work in a heavily technical environment, preparing and optimizing data for Snowflake and utilizing SAS Viya to build comprehensive federal and state reports. You will play a pivotal role in transforming, analyzing, and leveraging our data assets to drive strategic initiatives and business outcomes. You must be comfortable analyzing data, developing predictive modeling algorithms, and can communicate your findings through visualizations enabling the discovery of solutions to business problems. As a Data Scientist your role will be impactful, visible, and rewarding.

 

Responsibilities will include:

Data Conversion and Reporting Support for System Modernization Efforts

Data Transformation and Integration: Prepare and optimize data for migration to Snowflake and SAS Viya platforms, ensuring seamless integration and functionality by creating data transformation processes using ETL, SQL, Python, and R.

Develop Federal and State Reports: Build comprehensive reports that meet federal and state requirements using Snowflake and SAS Viya, ensuring accuracy and compliance.

Scrum Team Collaboration: Work as a member of an agile team to deliver new features and functions, delivering best-in-class value-based technology solutions.

Data Quality Management: Develop and implement databases, ETL processes, data collection systems, and data quality strategies that optimize statistical efficiency, accuracy, and quality.

Problem Examination and Resolution: Examine problems within the Data Intelligence space using ETL, Lambda, and Glue, and implement necessary changes to ensure data quality improvement.

Data Analytics and Insights: Utilize advanced data analytics techniques to support strategic decision-making, ensuring data integrity, quality, and timeliness of results.

Minimum Requirements:

  • 4            Required            Proven experience in data conversion and report building using Snowflake and SAS Viya.
  • 4            Required            Demonstrated experience in data transformation processes using ETL, SQL, Python, and R.
  • 4            Required            Experience working with data analytics and business intelligence tools.
  • 4            Required            Experience working in a Scrum or Agile development environment.
  • 4            Required            Proficiency in ETL processes and tools such as AWS Glue and Lambda.
  • 4            Required            Strong knowledge of database management and data warehousing concepts.
  • 4            Required            Expertise in SQL for data querying and manipulation.
  • 4            Required            Proven experience in data conversion and report building using Snowflake and SAS Viya.
  • 4            Required            Demonstrated experience in data transformation processes using ETL, SQL, Python, and R.
  • 4            Required            Experience working with data analytics and business intelligence tools.
  • 4            Required            Experience working in a Scrum or Agile development environment.
  • 4            Required            Proficiency in ETL processes and tools such as AWS Glue and Lambda.

 

Thanks & Regards

 

Azam Shahid

Technical Recruiter

LARGETON INC

[email protected]

 

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