Big Data Hadoop Technical Lead

Capgemini•Charlotte, NC

About The Position

About Capgemini A global leader in consulting, technology services and digital transformation, Capgemini is at the forefront of innovation to address the entire breadth of clients’ opportunities in the evolving world of cloud, digital and platforms. Building on its strong 50-year heritage and deep industry-specific expertise, Capgemini enables organizations to realize their business ambitions through an array of services from strategy to operations. Capgemini is driven by the conviction that the business value of technology comes from and through people. It is a multicultural company of over 200,000 team members in more than 40 countries. The Group reported 2018 global revenues of EUR 13.2 billion (about $15.6 billion USD at 2018 average rate). Visit us at www.capgemini.com. People matter, results count. Job Description Role: Big Data Hadoop Technical Lead Location: Charlotte, NC Position: Full time Job Description Big Data Hadoop Technical Lead with extensive experience on the Hadoop platform and related Big Data tools technologies 10 years of experience in implementing and managing high performance scalable enterprise applications in the Financial Services industry Good knowledge of architecture design patterns Source target mappings ETL Architecture in Hadoop space data modeling techniques performance tuning in Hadoop environment Experience with big data tools Hadoop Spark Kafka PySpark python Impala Hive HDFS and related tools Experience in CI CD tools such as Maven Git Stash Jenkins Docker etc Advance level knowledge and experience with SQL queries Able to analyze huge volume of data and understand patterns data quality issues and design solutions to manage volume Expertise in building application in Cloud Platforms such as AWS and leveraging native services an asset Experience working in Agile environment Experience working with shell scripting Modularize the project components Architect the complete project and provide solution architecture 5 Years of experience in Big Data Technologies 10 years experience in Data Warehouse Business Intelligence and analytics area 3 Years of experience in Hadoop Eco Systems 2 Years of experience in Spark 1 years experience with Microsoft Azure and or AWS Any exposure to Mainframe as a source is preferred What we Offer Your career matters to you and is important to us too. Because your goals and needs are constantly evolving, we offer visibility, leeway and support to help you grow and progress in your career. This approach builds notably on our comprehensive competency framework, our personal development, training and career management programs, and our University innovative and business-focused learning curriculums. We promote a culture of diversity. We believe working with talented individuals from different backgrounds and points of view is a strategic advantage and an ongoing opportunity. Diversity enriches our creative solutions and adds value for our clients. With the digital tech sector growing at a rapid pace and women significantly underrepresented in the industry, we are determined to inspire and recruit more women into technology and build diverse teams that reflect the clients we serve. Our Shared values have been at the heart of the group since our formation. They are honesty, boldness, trust, freedom, team spirit, modesty and fun. These values influence the way we meet client needs while respecting the regulatory requirements of each country in which we operate, and the way we promote ethically sound practices within Capgemini and in our partnerships. Capgemini is committed to building a workforce of employees with diverse backgrounds and work experiences. We strongly encourage women, veterans and active military service personnel to apply. Disclaimer Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Click the following link for more information on your rights as an Applicant - http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini. Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law. This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship. Click the following link for more information on your rights as an Applicant - http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law Applicants for employment in the US must have valid work authorization that does not now and/or will not in the future require sponsorship of a visa for employment authorization in the US by Capgemini.

Requirements

Big Data Hadoop Technical Lead with extensive experience on the Hadoop platform and related Big Data tools technologies
10 years of experience in implementing and managing high performance scalable enterprise applications in the Financial Services industry
Good knowledge of architecture design patterns Source target mappings ETL Architecture in Hadoop space data modeling techniques performance tuning in Hadoop environment
Experience with big data tools Hadoop Spark Kafka PySpark python Impala Hive HDFS and related tools
Experience in CI CD tools such as Maven Git Stash Jenkins Docker etc
Advance level knowledge and experience with SQL queries
Able to analyze huge volume of data and understand patterns data quality issues and design solutions to manage volume
Expertise in building application in Cloud Platforms such as AWS and leveraging native services an asset
Experience working in Agile environment
Experience working with shell scripting
5 Years of experience in Big Data Technologies
10 years experience in Data Warehouse Business Intelligence and analytics area
3 Years of experience in Hadoop Eco Systems
2 Years of experience in Spark
1 years experience with Microsoft Azure and or AWS
Any exposure to Mainframe as a source is preferred