Senior ETL Developer/Architect

Cognizant Technology Solutions • Springfield, MA

340d • Hybrid

About The Position

Cognizant Technology Solutions is looking for a Senior ETL Developer/Technical Lead to join in our team of IT professionals in a permanent role. By joining our team, you will have the opportunity to learn from the best in the industry, expand your skills, and grow your knowledge in a collaborative and supportive environment.

Requirements

• 8+ years of experience in ETL development and data warehousing.
• Deep expertise in Informatica IICS.
• Advanced proficiency in SQL and PL/SQL.
• Strong project management skills.
• Effective communication skills.
• Proficient in Microsoft Office Suite, especially advanced Excel functions.
• Experience with data science tools like R, SAS, or Python.
• Solid foundation in applied statistics and mathematical modeling.

Responsibilities

• In depth knowledge of Informatica IICS including planning the ETL process through completion
• Skill in building and maintaining OLAP style Data Warehouses to support Enterprise Business Intelligence reporting tools.
• Skill in writing and tuning SQL and PL/SQL language, demonstrated technical innovation, strong understanding of databases, and detailed knowledge of and experience with technical modeling.
• Knowledge of the principles and practices of project management, planning and scheduling relating to complex and diverse data management and end-user support issues.
• Knowledge of current computer technology.
• Ability to communicate clearly and effectively, both orally and in writing, at all levels within and outside the organization.
• Ability to establish and maintain effective working relationships inside and outside the organization.
• Advanced skill in use of Microsoft Office, including Outlook, Excel, Word, PowerPoint, and other computer applications including but not limited to skill in using shortcuts, macros, visual basic editing and advanced formulas.
• Ability to work with mathematical formulas and statistical data sets, to include charting and graphing.
• Experience with common data science toolkits, such as R, SAS or Python.
• Good applied statistics skills, such as distributions, statistical testing, regression, etc.

Benefits

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long-term/Short-term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Professional, Scientific, and Technical Services
• Number of Employees: 5,001-10,000 employees