C

Data Engineer

Capgemini
Full-time
On-site
Boston, Massachusetts, United States
Data Engineering

 

 


 

(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 providing support of server based databases in development and test environments including database software installation, database creation, performance and capacity design, backup and recovery design, security design, providing Analytical feedback as appropriate.


 

• Qualifications\:  1-3 years experience, Bachelor’s Degree.

• Should have progressing skills in Software Engineering Techniques, Software Engineering Architecture, Software Engineering Lifecycle and Data Management.

• Should have baseline 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

 

 

 

Capgemini is a global leader in consulting, digital transformation, technology and engineering  services. The Group 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. Today, it is a multicultural company of 270,000 team members in almost 50 countries. With Altran, the Group reported 2019 combined revenues of €17billion.

 

  
Visit us at www.capgemini.com. People matter, results count.

 

 

Job Description\: 
Strong data modeler with 3 years of experience in BI/Data Warehousing required to develop a new complex data warehouse. Should have the following skills 
Experience designing data warehouse models  
Relational, Star Schema, Data Vault, or ODS 
Has defined the data models for at least 2 large scale data warehouses 
Strong SQL skills 
Strong in database scripting, and utilities 
Ability understand business requirements & own the entire data model design lifecycle (Conceptual to logical to physical) 
Good understanding of ETL and BI principles 
Able to communicate with business stakeholders to capture requirements 
Strong understanding of tuning data structures for performance 
Ability to capture and communicate complex mappings, transformations, calculations, look ups, joins and business rules 
Experience with Data Governance 
Data Dictionaries, Data Glossaries, Data Catalogs, Impact Analysis, Data Lineage, Data Quality, Data Procurement and Compliance standards – GDPR, CCPA, and PII 
Technologies (Select based on requirement) 
Exposure to data modeling tools like ERWIN. ERSTUDIO and/or SQL Developer Data modeling 
Databases - Oracle, Teradata, Postgres, SQL Server, Hana, Big Data, Snowflake, or Redshift 
Calibra, Alation, or Informatica EDC, Axon and IDQ 
Languages – SQL, PL-SQL, T-SQL 
J/ODBC, JSON 
Data Governance Tools – INFA (EDC, Axom, Secure at Source, IDQ), Calibra, or Alation 
Data Virtualization - Design 
Service Design - REST, Web Services 
Data Virtualization Design - Denodo
 
Candidates should be flexible / willing to work across this delivery landscape which includes and not limited to Agile Applications Development, Support and Deployment.
 
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.