Required Skills Azure data factory, Azure data bricks, Azure Machine Learning, PySpark, SQL, Python, PB, AWS, SF, DEVOPS and Azure Security
Job Description - Create and maintain optimal data pipeline architecture using ADF.
- Able to create ETL through Azure data bricks and good understating of spark framework.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure 'big data' technologies.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Ability to lead 10-15 team members.
- Good presentation and communication skills.
Job Description
The role of a machine learning professional involves applying machine learning techniques and algorithms to solve complex problems, analyze data, and develop intelligent systems.
Job Description - Grade Specific
Plays a critical role in leading and supporting machine learning initiatives. Combined with technical expertise and management skills to drive successful project execution, deploying and mointoring the models, foster collaboration, and align machine learning strategies with broader business goals.
The base compensation range for this role in the posted location is $105,392 to $125,088.
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
- Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
- Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
- Life and disability insurance
- Employee assistance programs
- Other benefits as provided by local policy and eligibility
Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.
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