Overview
Skills
Job Details
Note : Please reply ONLY if you
1) can report to work on-site from day 1. No remote options allowed
2) have all the Required skill set and have worked as a "Senior Data Modeler (SAS Viya/Alteryx/Python/SQL/AZURE)" in a large & Complex enterprise level IT Environment.
3) have Minimum
11-12+ years in IT 7+ years of experience in data engineering, including designing and implementing data pipelines and ETL processes.
Proficiency with data management platforms such as SAS Viya, Alteryx, or others. (Proficiency level 4)
Proficiency in programming languages such as Python, SQL, or Java. (Proficiency level 4)
Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights. (Proficiency level 4)
Knowledge of relational database design and data modeling. (Proficiency level 4) Experience with implementing data warehouses, data lakes, or data lakehouses.
Experience with cloud computing platforms such as Azure.
Experience with business intelligence tools such as Qlik Sense.
4) can provide at least 3 verifiable experience from completed and/or substantially completed jobs that closely match this request (Filling the client provided form) + fill out a skill Matrix + Sign Resume certification form
5) Can go through a background check including fingerprinting + Agree to a Face to face interview OR a WEB CAM Interview
6) A Competitive Rate
7) will be available June 2024 to start at the project.
s and those authorized to work in the US are encouraged to apply. We are unable to sponsor H1b candidates at this time. NOTE: GIS will utilize the U.S. Department of Homeland Security's E-Verify system to verify the employment eligibility of all persons employed during the term of the Contract Note to Consulting Companies : ANY CONSULTANT S RESUME YOU SEND ME MUST BE ON YOUR COMPANY S PAYROLL, NO H1-VISA TRANSFER, NO PRO-MARKETING, NO SISTER COMPANY RESUMES. The resume should have the DIRECT contact info and email of the candidate otherwise the candidate will NOT be considered. ALL H1 candidates including those onWOULD need to provide I-797 + DL copy (no exceptions).
Each staff member assigned to this project must have a background screening that is equivalent to a Level Two (2) screening standard.
This is a fixed fee/hourly based project which is inclusive of travel, lodging, per diem expenses and all other costs associated with the completion of the associated tasks.
Interviews:
In the event an interview is requested, in-person interviews will be conducted at the Client location. Interviews may be conducted remotely via Microsoft Teams. A phone interview may also be requested as a first step.
Telecommuting: Telecommuting is not Allowed.
Primary Work: Serve as Data Engineer for the Data & Analytics (D&A) Office.
Education: Bachelor s or master s degree in Data Science, Computer Science, Information Systems or other Information Technology major, or equivalent work experience.
Required Tasks to be performed:
Design, implement, and maintain robust data pipelines and architectures.
Develop and implement data quality control procedures to ensure the accuracy, completeness, and consistency of data assets.
Optimize data processing workflows and algorithms for efficiency, scalability, and reliability.
Perform ad hoc data cleansing of datasets as needed.
Configure SAS Viya analytics platform.
Ensure compliance with data privacy regulations and security best practices in data handling, storage, and transmission.
Stay current with emerging technologies, tools, and methodologies in data engineering and environmental science.
Collaborate with data scientists and analysts to optimize models and algorithms for data quality, security, and governance.
Monitor and tune data systems, identify and resolve performance bottlenecks, and implement caching and indexing strategies to enhance query performance.
Transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.
Establish the governance of data and algorithms used for analysis, analytical applications, and automated decision making.
Provide leadership, guidance, and mentorship to junior staff members and colleagues, fostering a culture of continuous learning, innovation, and excellence in D&A practices.
Required Knowledge, Skills & Abilities (KSAs):
11-12+ years in IT
7+ years of experience in data engineering, including designing and implementing data pipelines and ETL processes.
Proficiency with data management platforms such as SAS Viya, Alteryx, or others. (Proficiency level 4)
Proficiency in programming languages such as Python, SQL, or Java. (Proficiency level 4)
Strong analytical and problem-solving skills, with the ability to analyze complex datasets and extract actionable insights. (Proficiency level 4)
Knowledge of relational database design and data modeling. (Proficiency level 4)
Ability to establish and maintain effective working relationships with others. (Proficiency level 3)
Ability to work independently. (Proficiency level 3)
Ability to determine work priorities and ensure proper completion of work assignments. (Proficiency level 3)
Ability to communicate effectively, both verbally and in writing. (Proficiency level 3)
Preferred Knowledge, Skills & Abilities (KSAs):
Familiarity with environmental science, water quality, or related fields.
Experience with implementing data warehouses, data lakes, or data lakehouses.
Experience with cloud computing platforms such as Azure.
Experience with business intelligence tools such as Qlik Sense.
Resume for One Proposed Consultant - Resume Should have the following information :
- Name
- All work experience related to the CLIENT s request for service
- Sufficient detail for CLIENT to determine dates of the related work experience, how extensive the related work experience is, and the depth of knowledge and skills of the proposed candidate related to the needs of CLIENT
- Candidate Education
- Professional Summary
- Technical Skills
- Work Experience
Candidate References: Three (3) references must be provided and include the following:
- Name of Company:
- Contact Person & Title:
- Contact Telephone Number:
- Contact Email Address:
- Job Period of Service: (MM/YYYY-MM/YYYY)
- Description (Scope of Work):
- Reference should be a company contact not a peer on the project.
- Verify candidate references, if incomplete and CLIENT is unable to email and call their reference, the proposal will be unaccepted.
"When replying please make sure to list your (All Inclusive) Compensation requirements !!!"
Note : This is a Full time ON SITE Contract Position with no REMOTE options allowed !!
Start date : June 2024
# OF POSITIONS : 1
No phone calls please.
Local Citizens are encouraged to Apply
No relocation assistance provided.
ONLY Candidates with an exact match will be contacted
Candidates should be authorized to work in the US.