Capgemini Data Analyst Lead - Data Scientist - Senior Consultant in Atlanta, Georgia
The Data Science & Analytics practice group at Capgemini is expanding its footprint…rapidly. As part of the fastest growing digital practice within Capgemini, we work with the latest advanced analytics, machine learning, and big data technologies to extract meaning and value from data in a number of different industries ranging from Media & Entertainment to Life Sciences and everywhere in-between. Our team has worked with geospatial data, on social media sentiment analysis, built recommendation systems, created image classification algorithms, solved large-scale optimization problems, and harnessed the massive influx of data generated by the IoT.
The Data Science & Analytics group is the fastest growing digital practice at Capgemini demanding agile innovation. As part of the Data Science & Analytics group, you will work in a collaborative environment with internal and client resources to understand key business goals, build solutions, and present findings to client executives while solving real-world problems. If you are passionate about solving problems in the realm of cognitive computing, big data, and machine learning while utilizing business acumen, statistical understanding, and technical know-how, the Data Science & Analytics practice group at Capgemini is the best place to grow your career.
Role & Responsibilities:
Extensive experience with deployment of Big Data Applications to Amazon AWS Cloud Extensive Experience in setting up Hortonworks Data Platform – AmbariExperience building a distributed Apache Hadoop multi-node large cluster Experience with Hadoop Security (Kerberos, LDAP, etc) Experience with configuring and administering Hadoop components such as HDFS, YARN, ZooKeeper, Kafka, and Spark.Experience with programming languages E.g. Scala (or Java), Python / Perl, Shell Scripting Understanding of network elements such as firewalls, load balancers, DNS, NAT, TLS/SSL Experience of using Source Control Git, or similar tools Experience with Agile Development Practices
Able and willing to learn new technologies and toolsStrong analytical, critical, and creative problem solving skillsAble to manage multiple tasks simultaneously and adapting when priorities changeAble to drive results and set priorities independently
- Preferred Skills: *
Experience of Kafka, NiFi Knowledge of other major cloud providers AZURE / Google Cloud Knowledge of databases such MariaDB / MySQL, and SQL writing Experience of CI/CD using Jenkins Knowledge of building self-contained applications using Docker, Kubernetes or similar technologies Knowledge of the monitoring tools like Splunk or similar tools Experience with automation/configuration tools such as Terraform, Chef, Ansible, or Puppet Experience with systems and application performance tuning
Applicants for employment in the US must have valid work authorization that does not now require sponsorship of a visa for employment authorization in the US by Capgemini.
(Includes Data Modeler, Data Miner.) Responsible for importing, cleaning, transforming, validating and modeling data with the purpose of understanding and drawing conclusions from data (may be presented in charts, graphs, and/or tables). Also, design and develop relational databases for collecting and storing data and build and design data input and data collection mechanisms.
Required Skills and Experience:
You are responsible for data related activities such as data extraction, profiling, cleansing, de-duplication, standardization, conversion, transformation and loading, data mining, warehousing, archiving and reporting. Responsible for all activities required to ensure optimum performance and data integrity of databases in production environments, in line with the requirements. Responsible for server based databases in development and test environments including database software installation, database creation, performance and capacity design, backup and recovery design, security design.
• Qualifications: 3-9 years experience, Bachelor’s Degree.
• Should be proficient in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management.
• Should have progressing skills in Business Analysis, Business Knowledge, Software Engineering Leadership, Architecture Knowledge and Technical Solution Design.
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
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 200,000 team members in over 40 countries. The Group reported 2017 global revenues of EUR 12.8 billion (about $14.4 billion USD at 2017 average rate).
Visit us at www.capgemini.com . People matter, results count.
Organization: I and D US
Title: Data Analyst Lead - Data Scientist - Senior Consultant
Requisition ID: 035434