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Data Scientist (Big Data Engineer) 2
Smart IMS Austin, TX
$118k-150k (estimate)
Full Time | IT Outsourcing & Consulting 2 Days Ago
Save

Smart IMS is Hiring a Data Scientist (Big Data Engineer) 2 Near Austin, TX

Office of the Attorney General of Texas requires the services of 3 Data Scientist (Big Data Engineer) 2, hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Office of the Attorney General of Texas.

All work products resulting from the project shall be considered "works made for hire" and are the property of the Office of the Attorney General of Texas and may include pre–selection requirements that potential Vendors (and their Candidates) submit to and satisfy criminal background checks as authorized by Texas law. Office of the Attorney General of Texas will pay no fees for interviews or discussions, which occur during the process of selecting a Candidate(s).

The Office of the Attorney General's Chief Data Office (CDO) is 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.

The above job description and requirements are general in nature and may be subject to change based on the specific needs and requirements of the organization and project.

II. CANDIDATE SKILLS AND QUALIFICATIONS

Minimum Requirements:

Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years
Required/Preferred
Experience

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.

Job Summary

JOB TYPE

Full Time

INDUSTRY

IT Outsourcing & Consulting

SALARY

$118k-150k (estimate)

POST DATE

07/04/2024

EXPIRATION DATE

07/24/2024

WEBSITE

smartims.com

HEADQUARTERS

PLAINSBORO, NJ

SIZE

200 - 500

FOUNDED

1994

TYPE

Private

CEO

GAYATHRI RAO

REVENUE

$10M - $50M

INDUSTRY

IT Outsourcing & Consulting

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Smart IMS is an Information Technology firm that provides infrastructure management, application development, maintenance and support services.

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The job skills required for Data Scientist (Big Data Engineer) 2 include Insight, Algorithms, SQL, Data Analytics, Big Data, Collaboration, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Scientist (Big Data Engineer) 2. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Scientist (Big Data Engineer) 2. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Scientist (Big Data Engineer) 2 positions, which can be used as a reference in future career path planning. As a Data Scientist (Big Data Engineer) 2, it can be promoted into senior positions as a Data Scientist IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Scientist (Big Data Engineer) 2. You can explore the career advancement for a Data Scientist (Big Data Engineer) 2 below and select your interested title to get hiring information.

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If you are interested in becoming a Data Scientist, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Scientist for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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Data scientists work closely with business stakeholders to understand their goals and determine how data can be used to achieve those goals.

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A data scientist develops software to structure the raw data.

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Data scientist will need to meet with their business stakeholders early and often to ensure that they are on the same page about the goals and deliverables of the project.

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Data scientists may spend some of their time working on ad hoc data requests, but these types of requests should only take up a small portion of their time.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Scientist jobs

Analyzing data from multiple angles and searching for trends that could reveal problems or opportunities.

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Data scientists lay a solid foundation to help perform all kinds of analysis.

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Data scientists are also expected to have stronger software engineering skills that data analysts.

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Business analysts are focused on reporting, just like data analysts.

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A data scientist should understand the assumptions that need to be met for each statistical test.

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Step 3: View the best colleges and universities for Data Scientist.

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