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Job Requirements of Data Engineer:
-
Employment Type:
Contractor
-
Location:
Davie, FL (Onsite)
Do you meet the requirements for this job?
Data Engineer
Careers Integrated Resources Inc
Davie, FL (Onsite)
Contractor
Title: Data Engineer
Location: Davie FL100% Onsite position
Duration: 12 Months (Temp to perm: Based on openings and performance)
Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week
Message Body: Dear Team, ***Please have candidates complete a PowerBI exam through your agency and provide the results on the last page of the resume.***
Pay rate Range:$40/hr. on w2
Core Essential skill sets candidates must have:
1. Min 3 years experience as an expert using Power BI. Looking for persons who have created presentations and Dashboards. We are not looking for someone who has worked with a team to create these as a team but we are needing someone who knows how to create as aspects of the presentations and dashboard on their own.
2. Must be certified with Power BI Fabric.
3. Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
4. Must have PL300 & Python certifications.
5. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
6. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
Minimum Master's in Data Science and Compute Science - Graduate in recent years
Screenings:
- Basic Background
- Drug -11-panel w/Fentanyl
- Medical Screenings:
1. Vision Screen - Near, Far, Color, Depth and Peripheral
2. Spirometry & OSHA Respirator Questionnaire
Job Description:
a. Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
b. Predictive Modeling: Develop and implement predictive models to define process performance.
c. Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
d. Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
e. Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
Location: Davie FL100% Onsite position
Duration: 12 Months (Temp to perm: Based on openings and performance)
Shift: Monday - Friday 8:00am - 5:00pm, 40 hours a week
Message Body: Dear Team, ***Please have candidates complete a PowerBI exam through your agency and provide the results on the last page of the resume.***
Pay rate Range:$40/hr. on w2
Core Essential skill sets candidates must have:
1. Min 3 years experience as an expert using Power BI. Looking for persons who have created presentations and Dashboards. We are not looking for someone who has worked with a team to create these as a team but we are needing someone who knows how to create as aspects of the presentations and dashboard on their own.
2. Must be certified with Power BI Fabric.
3. Must have experience using Power BI creating models and dashboards. (Power BI fabrics & semantic models.)
4. Must have PL300 & Python certifications.
5. Must have experience using Power BI in Pharmaceutical Industry. (The worker must have good understanding of the Pharmaceutical industry.)
6. Proficiency in programming languages such as Python, R, and SQL. Experience with machine learning frameworks like TensorFlow or PyTorch.
Education:
Minimum Master's in Data Science and Compute Science - Graduate in recent years
Screenings:
- Basic Background
- Drug -11-panel w/Fentanyl
- Medical Screenings:
1. Vision Screen - Near, Far, Color, Depth and Peripheral
2. Spirometry & OSHA Respirator Questionnaire
Job Description:
a. Data Analysis: Analyze large datasets from manufacturing processes to derive actionable insights.
b. Predictive Modeling: Develop and implement predictive models to define process performance.
c. Collaboration: Work closely with cross-functional teams, including chemists, engineers, etc., to support data-driven decision-making.
d. Machine Learning: Apply machine learning algorithms to optimize process development and manufacturing processes.
e. Data Visualization: Create visualizations to communicate findings to stakeholders and support strategic planning.
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