Majesco Data Migration Lead

Majesco Data Migration Lead Capgemini - 3.7 Jersey City, NJ Job Details Contract $43.38 - $67.78 an hour 15 hours ago Benefits Health insurance Dental insurance Vision insurance Retirement plan Qualifications Data model design Commercial use (data warehousing systems) DataStage Data Integration (Data management) Data modeling projects Team leadership Regulatory compliance Public Cloud IT experience within insurance industry Schema design Life insurance knowledge SQL Data Architecture Design (Architecture design skills) Talend Schema mapping design Guidewire (insurance claims software) Database migration or upgrading

SSIS API

integrations Informatica Project stakeholder communication Stakeholder relationship building IT department experience Stakeholder management Database software proficiency Full Job Description Jersey City, NJ, United States (On-site) Contract (3 months) Published 17 hours ago Majesco platform oracle api integration data governance Data Migration data warehousing AWS/Azure sql database ETL Development We are seeking a highly experienced Majesco Data Migration Lead to drive end to end data migration activities for insurance transformation programs involving Majesco platforms Policy Billing Claims The role involves defining migration strategy leading data mapping and conversion activities and ensuring high data quality and accuracy during system transitions The ideal candidate combines strong data migration expertise insurance domain knowledge and hands-on experience with Majesco implementations or similar PAS systems

Key Responsibilities:

Data Migration Strategy Planning:

Define end to end data migration strategy approach and roadmap Analyze legacy data systems and identify migration scope Establish data governance cleansing and validation frameworks

Data Mapping Transformation:

Lead data mapping workshops with business and technical teams Define Source to target mappings Transformation rules Data enrichment strategies Ensure alignment with Majesco data models

Data Conversion Execution:

Oversee design and execution of: ETL processes Data conversion scripts Coordinate multiple migration cycles Mock runs Dress rehearsals Final cutover

Data Validation Reconciliation:

Define validation frameworks and reconciliation strategies Perform data quality checks Completeness Accuracy Consistency Ensure successful reconciliation between legacy and Majesco systems

Data Quality Governance:

Establish data quality standards and controls Identify data issues and define cleansing strategies Ensure compliance with regulatory and audit requirements

Collaboration Stakeholder Engagement:

Work closely with: Business SMEs Functional leads Architects and developers Project managers Communicate migration progress risks and dependencies

Tools Environment Management:

Drive usage of ETL and data tools such as: Informatica Talend SSIS or similar Support data migration environments and infrastructure setup

Risk Issue Management:

Identify risks related to data migration data loss inconsistency downtime Develop mitigation and contingency plans Ensure smooth cutover with minimal business impact

Required Skills Qualifications:

Education:

Bachelors or Masters degree in Computer Science IT Engineering or related field

Experience:

10 years of IT experience with strong focus on data migration 4-6 years in insurance domain projects PC Life or Health Experience in Majesco implementations or similar platforms Guidewire Duck Creek etc

Domain Expertise:

Strong understanding of insurance data related to: Policy lifecycle Customer and account data Billing and financial transactions Claims data Knowledge of regulatory and compliance requirements

Technical Skills:

Strong experience in: ETL tools Informatica Talend SSIS DataStage etc SQL and database technologies Oracle SQL Server etc Data modeling and data architecture expertise Experience with: APIs and data integration Data warehousing concepts Exposure to cloud data platforms AWS Azure is a plus

Data Migration Expertise:

End to end migration lifecycle Data profiling Mapping Transformation Cleansing Validation Handling largescale complex data migrations Cutover planning and execution

Soft Skills :

Excellent communication and stakeholder management skills Strong analytical and problem solving abilities Leadership and team coordination skills Ability to handle high pressure migration timelines

Preferred Qualifications :

Experience with largescale insurance transformation programs Knowledge of Agile SAFe methodologies Certification in data management or cloud platforms Familiarity with data governance tools Collibra Alation etc The pay range that the employer in good faith reasonably expects to pay for this position is $43.38/hour - $67.78/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis. Tundra Technical Solutions is among North America's leading providers of Staffing and Consulting Services. Our success and our clients' success are built on a foundation of service excellence. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. Qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law, including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Unincorporated LA County workers:

we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: client provided property, including hardware (both of which may include data) entrusted to you from theft, loss or damage; return all portable client computer hardware in your possession (including the data contained therein) upon completion of the assignment, and; maintain the confidentiality of client proprietary, confidential, or non-public information. In addition, job duties require access to secure and protected client information technology systems and related data security obligations.