Lead Consultant Informatica MDM

Infosys is seeking a Big Data Lead Consultant with Treasury and Payment data experience. The position will primarily be responsible interface with key stakeholders and apply your technical proficiency across different stages of the Software Development Life Cycle including Requirements Elicitation Application Architecture definition and Design. You will also deliver high quality code deliverables for a module lead validation for all types of testing and support activities related to implementation transition and warranty. One will be part of a learning culture where teamwork and collaboration are encouraged excellence is rewarded and diversity is respected and valued.


Required Qualifications:

• Bachelors degree or foreign equivalent required from accredited institution. Will also consider three years of progressive experience in the specialty in lieu of every year of education
• Candidate must be located within commuting distance ofCharlotte NCor be willing to relocate to the area.
• At least 7 years of experience in Information Technology.
• Experience in solution architecture Data Modelling Data Governance and metadata management in Big Data implementations
• Applicants authorized to work for any employer in the United States without employer-based visa sponsorship are welcome to apply. Infosys is unable to provide immigration sponsorship for this role at this time.

• Excellent communication and collaboration skills to work with business stakeholders and development teams.
• Experience in end-to-end implementation of projects in Spark Informatica especially large scale big data lake or warehouse data engineering and analytics.
• Experience in Big data ecosystem using Hadoop Spark Scala using Python packages and libraries for large scale data. Strong knowledge and hands-on experience in SQL Unix shell scripting.
• Good experience in Relational Modeling Dimensional Modeling and Modeling of Unstructured data.
• Good knowledge in Global Banking Treasury and Payments Domain and functions. Sound knowledge of software engineering design patterns and practices.
• Good understanding of data architecture data integration data quality and data architecture.

• Medical/Dental/Vision/Life Insurance
• Long-term/Short-term Disability
• Health and Dependent Care Reimbursement Accounts
• Insurance (Accident Critical Illness Hospital Indemnity Legal)
• 401(k) plan and contributions dependent on salary level
• Paid holidays plus Paid Time Off