data migration lead

NTT DATA

Job Description: 
NTT DATA's Client is seeking a SAP Data Migration Lead
 
Data Migration Leadership & Governance
 Lead full lifecycle data migration activities from Client/Prepare through Explore, Realize, Deploy, and Hypercare
 Define and govern the overall data migration strategy, approach, and roadmap for S/4HANA Greenfield programs
 Act as the primary data migration authority across business, functional, and technical teams
 Establish data governance, ownership, validation, and sign off frameworks
 
Planning, Execution & Delivery
 Develop and maintain data migration plans, cutover strategies, mock cycles, and load schedules
 Oversee data extraction, transformation, cleansing, reconciliation, and load activities
 Lead multiple mock conversions, defect resolution cycles, and final production loads
 Coordinate data readiness for integrated SAP cloud products (Ariba, SuccessFactors, IBP, SAC)
 
Tools, ETL & Technology
 Design and review data migration ETL mappings and workflows using SAP BODS or Syniti
 Ensure alignment with SAP S/4HANA data models, CVI, and SAP recommended best practices
 Manage data loads via Fiori Migration App/Fiori apps/IDocs/BAPIs/APIs where applicable
 Monitor and optimize data load performance and error handling
 
Quality, Testing & Reconciliation
 Define and enforce data quality rules, validation checks, and reconciliation criteria
 Partner with functional leads to validate business critical data (master & transactional)
 Ensure compliance with audit, SOX, and regulatory requirements during migration
 Support UAT, integration testing, and cutover rehearsals
 
Stakeholder & Program Management
 Collaborate with business SMEs, SAP functional leads, integration teams, and system integrators
 Track migration activities, dependencies, risks, and issues in Jira
 Provide status reporting, metrics, and dashboards to program leadership
 Identify and mitigate data related risks proactively
 
Basic Qualifications: (what are the skills required to this job with minimum years of experience on each)
 
Core Experience
 10+ years of SAP data migration experience with multiple end to end implementations
 Proven leadership on Greenfield SAP S/4HANA global rollout programs
 Hands on experience migrating from ECC and non SAP legacy systems to S/4HANA
 Extensive experience with multi country, multi currency, and multi language datasets
 
SAP & Cloud Product Expertise
 Strong expertise in SAP S/4HANA data structures, CVI, Business Partner, and Universal Journal
 
Experience integrating and migrating data for: 
SAP Ariba
 SAP SuccessFactors
 SAP Integrated Business Planning (IBP)
 SAP Analytics Cloud (SAC)
 
ETL & Data Tools
 Deep hands on experience with SAP BODS and/or Syniti ADM
 Strong understanding of ETL design, reusable mappings, and error handling
 Experience defining data transformation logic, validation rules, and reconciliation reports
 
Project, Agile & Tracking Tools
 
Mandatory experience using Jira for: 
Tracking migration tasks, defects, and dependencies
 Managing sprints, backlogs, and releases
 Familiarity with Agile / Scrum and hybrid SAP delivery models
 Ability to manage parallel workstreams and tight cutover timelines
 
Data & Functional Knowledge
 
Strong understanding of SAP functional domains: 
Finance (FI/CO)
 Supply Chain (MM, SD, PP)
 Procurement, HR, and Planning
 Ability to translate business requirements into migration design and rules
 
Leadership & Soft Skills
 Strong stakeholder management and communication skills
 Ability to influence senior business and IT leadership
 Proven experience leading onshore/offshore teams
 Analytical mindset with strong problem solving skills
 
Travel: This position requires someone who can travel at least 20%. Preferred location is East coast or Midwest.
 Degree: Bachelors in Computer Science or equivalent work experience
 
Nice to Have; (But not a must)
 Prior experience leading multi vendor, global delivery programs.
 Industry experience in manufacturing, life sciences.
 
About NTT DATA Services: 
NTT DATA Services is a recognized leader in IT and business services, including cloud, data and applications, headquartered in Texas. As part of NTT DATA, a $30 billion trusted global innovator with a combined global reach of over 80 countries, we help clients transform through business and technology consulting, industry and digital solutions, applications development and management, managed edge-to-cloud infrastructure services, BPO, systems integration and global data centers. We are committed to our clients' long-term success. Visit nttdata.com or LinkedIn to learn more.
 
NTT DATA Services is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.
 
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting hourly range for this remote role is ($120.00 - $130.00/hourly). This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on several factors, including the candidate's actual work location, relevant experience, technical skills, and other qualifications.
 
This position is eligible for company benefits that will depend on the nature of the role offered. Company benefits may include medical, dental, and vision insurance, flexible spending or health savings account, life, and AD&D insurance, short-and long-term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally required benefits.

SAP Data Migration Lead - Greenfield S/4HANA 2025 Implementation

Accenture

<div>
 As an Oracle Data Conversion Lead at Accenture, you will be at the forefront of designing, developing, and maintaining advanced data solutions to support data generation, collection, and processing. Your role will involve creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to enable seamless data migration and deployment across systems.
 
 
 In this position, you will act as a subject matter expert, leading and managing teams to deliver high-quality results. You will be responsible for driving team decisions, collaborating with multiple stakeholders, and contributing to strategic initiatives. Your expertise will be instrumental in solving complex challenges for your immediate team and across various teams.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Design and implement innovative data solutions to enhance operational efficiency and scalability.
 
 </li>
 <li>
 Develop and optimize data pipelines to ensure high performance, reliability, and data quality.
 
 </li>
 <li>
 Lead ETL processes for seamless data migration and deployment across systems.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement data-driven strategies that align with business objectives.
 
 </li>
 <li>
 Conduct regular assessments of data quality and implement necessary improvements to maintain high standards.
 
 </li>
 <li>
 Stay updated with industry trends, emerging technologies, and best practices to continuously improve data engineering practices.
 
 </li>
 <li>
 Mentor and guide team members, fostering a culture of collaboration and continuous learning.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI).
 
 </li>
 <li>
 Expert proficiency in Data Migrations, Data Access, Data Engineering, Data Pipelines, and Data Processing.
 
 </li>
 <li>
 Strong leadership and collaboration skills to manage teams and engage with multiple stakeholders effectively.
 
 </li>
 <li>
 Excellent problem-solving abilities to deliver innovative solutions across diverse teams and projects.
 
 
 
 </li>
</div>

Oracle Data Conversion lead- Associate Manager

<div>
 
 Overview:
 
 
 
 As an Oracle Data Conversion Lead at Accenture, you will play a pivotal role in designing, developing, and maintaining robust data solutions to support data generation, collection, and processing. Your responsibilities will include creating and optimizing data pipelines, ensuring data quality, and implementing ETL processes to facilitate seamless data migration and deployment across systems.
 
 
 You will act as a subject matter expert in Oracle Data Integrator (ODI) and Data Migrations, leveraging your expertise to guide and manage teams effectively. You will be responsible for driving team decisions, collaborating with multiple teams, and contributing to strategic initiatives while delivering innovative solutions to complex challenges.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Lead the design and implementation of data solutions that enhance operational efficiency and scalability.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify data requirements and deliver effective solutions.
 
 </li>
 <li>
 Develop and optimize data pipelines to ensure performance, reliability, and scalability.
 
 </li>
 <li>
 Conduct regular assessments of data quality and implement improvements to maintain high standards.
 
 </li>
 <li>
 Stay abreast of industry trends, emerging technologies, and best practices in data engineering and Oracle Data Integration.
 
 </li>
 <li>
 Provide mentorship and guidance to team members, fostering a culture of collaboration and continuous improvement.
 
 </li>
 <li>
 Master proficiency in Oracle Data Integrator (ODI).
 
 </li>
 <li>
 Expert proficiency in Data Migrations, Data Engineering, Data Pipelines, and Data Processing.
 
 </li>
 <li>
 Strong problem-solving skills with the ability to provide solutions across multiple teams.
 
 </li>
 <li>
 Excellent communication and leadership skills to manage and collaborate effectively with diverse teams.
 
 
 
 </li>
</div>

Oracle Data Conversion Lead - Associate Manager

Capgemini

<div><div><div><div>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
<div><div><div><h2 class="jobSectionHeader">Job Location - Dallas TX (Day One Onsite - 5 days in a week)</h2>
</div></div><div></div><div><div><h2 class="jobSectionHeader">Key Responsibilities</h2>
</div><div><ul><li>Pipeline Migration - Logic Scheduling Refactoring and migrating extraction logic and job scheduling from legacy frameworks to the new Lakehouse environment. Data Transfer Executing the physical migration of underlying datasets while ensuring data integrity</li> 
</ul><div></div><ul><li>Stakeholder Engagement - Acting as a technical liaison to internal clients facilitating handoff and signoff conversations with data owners to ensure migrated assets meet business requirements</li> 
</ul><div></div><ul><li>Consumption Pattern Migration - Code Conversion Translating and optimizing legacy SQL and Sparkbased consumption patterns raw and modeled for compatibility with Snowflake and Iceberg. Usage analysis Understand usage patterns to deliver the required data products. Stakeholder Engagement Acting as a technical liaison to internal clients facilitating handoff and signoff conversations with data owners to ensure migrated assets meet business requirements.</li> 
</ul><div></div><ul><li>Data Reconciliation Quality - A rigorous approach to data validation is required Candidates must work with reconciliation frameworks to build confidence that migrated data is functionally equivalent to that already used within production flows. Data Engineer will also need to work with internal data management platforms team and must have an aptitude for learning new workflows and language constructs as necessary</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Required Skills</h2>
</div><div><ul><li>Experience Minimum of 3-5 years of professional hands on keyboard coding experience in a collaborative team based environment Ability to trouble shoot SQL and basic scripting experience.</li>
<li>Languages Professional proficiency in Python or Java</li>
<li>Methodology Deep familiarity with the full Software Development Life Cycle SDLC and CICD best practices K8s deployment experience</li>
<li>Core Data Engineering Competencies Candidates must demonstrate a sophisticated understanding of the following modeling concepts to ensure data correctness during reconciliation</li>
<li>Temporal Data Modeling Managing state changes over time eg SCD Type 2</li>
<li>Schema Management Expertise in Schema Evolution Ref Iceberg Apache and enforcement strategies</li>
<li>Performance Optimization Advanced knowledge of data partitioning and clustering</li>
<li>Architectural Theory Balancing Normalization vs Denormalization and the strategic use of Natural vs Surrogate Keys</li>
<li>While candidates are not expected to be experts in every tool the collective team must cover the following technologies, Extraction Logic, Kafka ANSI SQL FTP Apache Spark</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Life At Capgemini</h2>
</div><div>Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
<ul><li>Flexible work</li>
<li>Healthcare including dental, vision, mental health, and well-being programs</li>
<li>Financial well-being programs such as 401(k) and Employee Share Ownership Plan</li>
<li>Paid time off and paid holidays</li>
<li>Paid parental leave</li>
<li>Family building benefits like adoption assistance, surrogacy, and cryopreservation</li>
<li>Social well-being benefits like subsidized back-up child/elder care and tutoring</li>
<li>Mentoring, coaching and learning programs</li>
<li>Employee Resource Groups</li>
<li>Disaster Relief</li>
</ul></div></div><div><div><h2 class="jobSectionHeader">Disclaimer</h2>
</div><div>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.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
</div></div><div><div><h2 class="jobSectionHeader">Salary Transparency</h2>
</div><div>Capgemini discloses salary range information in compliance with state and local pay transparency obligations. The disclosed range represents the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting, although we may ultimately pay more or less than the disclosed range, and the range may be modified in the future. The disclosed range takes into account the wide range of factors that are considered in making compensation decisions including, but not limited to, geographic location, relevant education, qualifications, certifications, experience, skills, seniority, performance, sales or revenue-based metrics, and business or organizational needs. At Capgemini, it is not typical for an individual to be hired at or near the top of the range for their role. The base salary range for the tagged location is $80420 to $106050 /yearly.
This role may be eligible for other compensation including variable compensation, bonus, or commission. Full time regular employees are eligible for paid time off, medical/dental/vision insurance, 401(k), and any other benefits to eligible employees.
Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company&rsquo;s sole discretion, consistent with the law.
</div></div></div>The base compensation range for this role in the posted location is: $80420 to $106050
Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.
The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.
These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.
It is not typical for candidates to be hired at or near the top of the posted compensation range.
In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. 
Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
<ul><li>Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave</li>
</ul><ul><li>Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)</li>
<li>Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)</li>
<li>Life and disability insurance</li>
<li>Employee assistance programs</li>
<li>Other benefits as provided by local policy and eligibility</li>
</ul>Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini&rsquo;s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation. 
Disclaimers
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. 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 accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.
Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law 
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.</div></div></div></div>

Data Migration Engineer

The Emirates Group

<div><h5 class="jobSectionHeader">Job Purpose
</h5>At Emirates, we believe in connecting the world, to and through, our global hub in Dubai; and in constantly innovating to ensure our customers Fly Better.
Emirates Group IT thrives on the dynamic nature of technology. Being pioneers in aviation innovation, we&rsquo;re always at the forefront, pushing boundaries. We are seeking an experienced Principal Software Engineer &ndash; ERP Cloud Data Migration to design, implement, and operate resilient data migration strategies using cloud and hybrid capabilities as part of a major Cloud ERP transformation and its ongoing service operations. 
 
This is a 36-month fixed-term contract based in Dubai, with 5 days per week in the office .
As Principal Software Engineer &ndash; ERP Cloud Data Migration, you will take end to end accountability for defining and governing the end to end data migration strategy across multiple source systems and entities, ensuring data accuracy, control, and business continuity during the transition to a single global ERP platform. You will engage with internal and external stakeholders, lead technical design reviews, and ensure production grade migration outcomes aligned to corporate standards and technology strategy.
In this role, you will:
<ul><li>Lead the technical design, development and deployment of complex software solutions across teams. Carry out effective technical design reviews to ensure that the right architecture patterns are used by engineering teams.
</li><li>Champion development of best engineering practices and modernization techniques including process automation, lean software development, built-in-quality, test driven development, agile practices, optimal pairing strategies and timely root cause analysis and blameless incident post-mortems. Support defining and refining the software engineering playbooks for use by relevant people in Technology.
</li><li>Provide technical leadership and partner with cross-functional teams during discovery phase and in the development of high level design of medium to large projects.
</li><li>Drive proof-of-concepts and implement prototypes to validate ideas. Investigate, debug and fix complex issues involving corner cases and rare conditions.
</li><li>Identify and develop framework, tools and practices to improve delivery quality of technology solutions and productivity of engineers.
</li><li>Responsible for the measurement and monitoring of engineering metrics that enable agility, scalability, data quality and reliability of technology solutions across the enterprise.
</li><li>Contribute to the creation of world class engineering practices, play books and artefacts required to drive technical career of software engineers in line with the software engineering strategy.
</li><li>Support and guide the team of engineers in working autonomously in multi-disciplinary release trains.
</li><li>Ensure optimal use of enterprise application platforms, tools and libraries in line with the approved technology architecture and associated Software Vendors.
</li><li>Maintain a thorough understanding of interdependences and limitations within assigned technology area and solution operational context.
</li><li>Provide leadership, guidance and ongoing engagement with technical teams in the effective technical documentation of developed software.
</li><li>Manage multiple assigned teams, with accountability for hiring top talent, define development goals, manage performance, mentor and coach.
</li><li>Guide and support software engineering team definition decisions and staff movements according to program requirements, staff capability and development.
</li></ul><h5 class="jobSectionHeader">Qualification
</h5>To be considered for this role, you must meet the below requirements:
<ul><li>Degree or Honours (12+3 or equivalent) in Computer Science, Engineering, Information Systems, or a related discipline.
</li><li>8+ years of experience in Information Technology, including engineering and operating enterprise‑grade cloud and/or hybrid infrastructure in a 24/7 environment.
</li><li>Ability to define and own an end to end data migration strategy for large scale ERP consolidation programmes.
</li><li>Strong experience implementing and executing migration architectures covering extraction, transformation, validation, loading, and reconciliation.
</li><li>Expertise in phased migration approaches (trial loads, dress rehearsals, cutover loads) across multiple deliveries and waves.
</li><li>Deep understanding of enterprise data domains, including Master data, Transactional data and Reference/Configuration data.
</li><li>Experience in establishing data quality standards and acceptance criteria for migration.
</li><li>Experience driving data cleansing, de duplication, enrichment, and standardisation across entities.
</li><li>Experience designing repeatable, automated migration pipelines for trial and production loads.
</li><li>Ability to build reconciliation, validation, and control reports to prove completeness and accuracy.
</li><li>Understanding of performance tuning and volume handling for large data sets during migration windows.
</li><li>Experience defining fallback, rollback, and contingency strategies.
</li><li>Ability to manage entity specific constraints while enforcing global standards.
</li><li>Experience in stakeholder management with global business teams, finance, and local IT.
</li><li>Ability to challenge vendor assumptions and validate migration approaches independently.
</li></ul>Leadership Role: Yes.
<h5 class="jobSectionHeader">Salary &amp; benefits
</h5>Join us in a management role and enjoy an attractive tax‑free salary, along with travel benefits that are exclusive to our industry, including discounted flights and hotel stays around the world. This role also offers an excellent leave and healthcare package, transport benefits, life insurance, and more.
Discover what it&rsquo;s like to live and work in our fast‑paced, cosmopolitan home city in the Dubai Lifestyle section of our careers website: www.emirates.com/careers</div>

Principal Software Engineer

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Purpose
Lead the ERP program&rsquo;s data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.
Key Responsibilities<ul><li>Conduct comprehensive assessment of legacy data sources:</li></ul>
o Inventory, Maintenance (MRO), Procurement, HR, Technical Docs<ul><li>Identify:</li></ul>
o Data quality issues (duplicates, missing, inconsistencies)
o Data ownership and governance gaps
o Redundant/siloed datasets<ul><li>Define data cleansing and standardization approach</li><li>Produce Data Readiness Assessment Report</li><li>Define end-to-end Data Migration Strategy, including:</li></ul>
o Migration approach (phased, module-wise, or big-bang)
o Data prioritization (master data vs transactional vs historical)<ul><li>Develop Data Mapping Specifications:</li></ul>
o Legacy ERP field-level mappings
o Transformation rules and standardization logic
o Handling of missing/invalid data<ul><li>Define Data Cleansing &amp; Preparation Plan:</li></ul>
o Deduplication rules
o Data enrichment where required
o Validation checkpoints before migration<ul><li>Design Migration Execution Plan:</li></ul>
o Migration cycles (mock runs, dry runs, final cutover)
o Rollback strategy in case of failure
o Downtime and cutover planning<ul><li>Define Data Validation &amp; Reconciliation Framework:</li></ul>
o Pre-migration vs post-migration validation rules
o Reconciliation reports (counts, totals, relationships)
o Sign-off criteria for each module<ul><li>Produce key deliverables:</li></ul>
o Data Migration Plan
o Data Mapping Documents
o Data Validation &amp; Reconciliation Reports<ul><li>Identify and enable AI/ML use cases, such as:</li></ul>
o Predictive maintenance modeling
o Inventory demand forecasting
o Supplier performance analytics<ul><li>Leverage AI tools for:</li></ul>
o Data profiling and anomaly detection
o Data quality assessment and cleansing recommendations
o Advanced analytics and insights generation<ul><li>Define enterprise conceptual data model:</li></ul>
o Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs<ul><li>Establish:</li></ul>
o Entity relationships
o Master data definitions
o Data standardization rules<ul><li>Support BI teams for dashboards and analytics</li><li>Align data models with business workflows</li><li>Ensure requirements are data-feasible and consistent</li></ul> 
Requirements 
3. Required Skills &amp; Experience
Mandatory<ul><li> 5 - 8 years in Data Analyst / Data Architecture roles</li><li>Experience in large-scale ERP or enterprise data transformation programs</li><li>Strong expertise in:</li></ul>
o Data modelling (conceptual &amp; logical)
o Data migration and cleansing
o Data warehousing and reporting
Technical Expertise<ul><li>Strong knowledge of:</li></ul>
o ETL processes and migration tools
o SQL and relational databases
o API-based integrations<ul><li>Experience with BI tools (Power BI, Tableau)</li></ul>
Preferred<ul><li>Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)</li><li>Exposure to:</li></ul>
o Maintenance (MRO) data
o Inventory systems
o Technical documentation repositories<ul><li>Demonstrated experience using AI/ML tools or platforms, such as:</li></ul>
o Data analysis and prediction tools
o AI-assisted data modeling or profiling tools<ul><li>Ability to translate data into AI-driven insights for decision-making</li></ul>
Why Join CodeNinja?<ul><li>
Work on impactful ERP transformation projects at enterprise scale
</li><li>Shape end-to-end data strategy, migration, and architecture
</li><li>Leverage AI/ML for advanced data insights and analytics
</li><li>Collaborate with cross-functional teams and drive business decisions
</li><li>Build scalable data models and governance frameworks
</li><li>Grow in a culture of innovation, ownership, and continuous learning</li></ul>
Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Modeling Engineer

FIN Hospitality

Company: Oil &amp; GasLocation: QatarDepartment: Corporate ITKey Responsibilities:<ul><li>Evaluate technical proposals from bidders for the PDM project, providing assessments based on technical competency, cost-effectiveness, and strategic fit.</li><li>Lead the implementation of integration setup and deployment of the PDM solution in collaboration with implementation partners.</li><li>Ensure seamless integration of systems including SAP S/4HANA, Microsoft SharePoint (Online and On-Prem), .NET-based applications, and industrial platforms such as RTDB, PDMS, and CIMS.</li><li>Oversee the decommissioning of legacy middleware (e.g., BizTalk) and implement modern integration layers aligned with Dolphin Energy&rsquo;s enterprise architecture.</li><li>Lead data migration, mapping, and governance activities to ensure data integrity and compliance.</li></ul>&sect; Apply AI/ML techniques to improve data validation, anomaly detection, and metadata enrichment during integration processes.<ul><li>Maintain detailed integration documentation covering data flows, licensing impacts, and migration strategies.</li><li>Manage ongoing data integration operations and enforce governance policies across platforms.</li><li>Collaborate with cross-functional teams to ensure integration efforts align with business and technical requirements.</li><li>Provide technical oversight during implementation, testing, and go-live phases, ensuring integration stability and compliance.</li></ul>Required Qualifications:<ul><li>Educational Background:</li></ul>&sect; A degree in computer science, Data Science, information technology, or a related field.<ul><li>Experience:</li></ul>&sect; Minimum 10 years of experience in system integration, project management, and solution architecture within the oil &amp; gas industry.&sect; Proven experience in integrating complex systems such as SAP, SharePoint online, Plant systems, Real-Time systems, and other enterprise applications.<ul><li>Technical Skills:</li></ul>&sect; Experience with AI-powered data migration and mapping tools such as Azure AI Services and others.&sect; Deep expertise in enterprise integration platforms: SAP CPI, Microsoft Power Platform, OPC, PI SDK.&sect; Experience with industrial protocols such as OPC-UA for real-time data exchange between plant systems and enterprise platforms.&sect; Proficiency in API development, ETL tools, and data synchronization methods.&sect; Strong programming skills in JavaScript, SQL, and Python.&sect; Experience with middleware technologies and cloud-based integration frameworks such as Biztalk.&sect; Experience in Project management and have ability to manage large-scale integration projects with cross-platform dependencies<ul><li>Soft Skills:</li></ul>&sect; Excellent analytical and research skills.&sect; Strong communication skills to collaborate with cross-functional teams.&sect; Strong presentation skillsPay: QAR15,000.00 - QAR20,000.00 per monthWork Location: In person

System Integrations Expert

Search 10000+ Data migration lead jobs near you this May. New roles added regularly across leading industries. Apply today.