Arizona Staffing
Hadoop Developer Position
Our client, a leader in the financial services industry, is seeking a Hadoop Developer to join their team. As a Hadoop Developer, you will be part of the Data Engineering Department supporting innovative data solutions. The ideal candidate will have strong problem-solving skills, a proactive mindset, and a solid understanding of data engineering principles which will align successfully in the organization. What's the Job? Build data pipelines using big-data stack technologies such as Hadoop, Hive, and PySpark. Utilize Amazon AWS S3 for object storage and data service integration. Engage in data modeling and database design to enhance data architecture. Implement job scheduling using Autosys for efficient data processing. Leverage tools like PowerBI and Dremio for data visualization and analysis. What's Needed? A minimum of 4 years of hands-on experience in data engineering and pipeline development. Proficiency in Unix/shell scripting and CI/CD pipeline practices. Strong understanding of database design principles, preferably with MySQL or equivalent. Experience in automating processes using Spark, Python, and Hadoop/Hive. Exposure to GCP cloud data engineering is a plus, but not required. What's in it for me? Opportunity to work in a dynamic and innovative environment. Engage in challenging projects that enhance your technical skills. Collaborate with experienced engineers and industry professionals. Potential for contract conversion to full-time employment. Be part of a pilot program that may lead to future opportunities. About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands Manpower, Experis, Talent Solutions, and Jefferson Wells creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent. ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.
Our client, a leader in the financial services industry, is seeking a Hadoop Developer to join their team. As a Hadoop Developer, you will be part of the Data Engineering Department supporting innovative data solutions. The ideal candidate will have strong problem-solving skills, a proactive mindset, and a solid understanding of data engineering principles which will align successfully in the organization. What's the Job? Build data pipelines using big-data stack technologies such as Hadoop, Hive, and PySpark. Utilize Amazon AWS S3 for object storage and data service integration. Engage in data modeling and database design to enhance data architecture. Implement job scheduling using Autosys for efficient data processing. Leverage tools like PowerBI and Dremio for data visualization and analysis. What's Needed? A minimum of 4 years of hands-on experience in data engineering and pipeline development. Proficiency in Unix/shell scripting and CI/CD pipeline practices. Strong understanding of database design principles, preferably with MySQL or equivalent. Experience in automating processes using Spark, Python, and Hadoop/Hive. Exposure to GCP cloud data engineering is a plus, but not required. What's in it for me? Opportunity to work in a dynamic and innovative environment. Engage in challenging projects that enhance your technical skills. Collaborate with experienced engineers and industry professionals. Potential for contract conversion to full-time employment. Be part of a pilot program that may lead to future opportunities. About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells ManpowerGroup (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands Manpower, Experis, Talent Solutions, and Jefferson Wells creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent. ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.