Dynamics 365 Data migration Engineer\ Developer

Key Responsibilities

• Lead end-to-end data migration initiatives, including assessment, planning, mapping, transformation, validation, and reconciliation.
• Define and implement data governance frameworks, standards, policies, and processes.
• Design and manage data solutions using Microsoft Azure Data Services.
• Lead development of BI dashboards, reports, KPIs, and analytics solutions.
• Work with business and technical stakeholders to understand reporting and data requirements.
• Develop and maintain data models, data pipelines, ETL/ELT processes, and reporting architecture.
• Ensure data quality, consistency, integrity, security, and compliance throughout migration and reporting processes.
• Identify data risks, dependencies, gaps, and migration challenges and drive their resolution.
• Establish data validation and reconciliation mechanisms to ensure migration accuracy.
• Provide technical leadership and guidance to data engineers, BI developers, and other project team members.
• Collaborate with application, cloud, infrastructure, and business teams during project implementation.
• Monitor data migration and BI deliverables against project timelines, quality standards, and business objectives.
• Prepare technical documentation, data dictionaries, mapping documents, governance guidelines, and project reports.

Required Skills & Experience

• 7+ years of experience in data, migration, BI, or related technology roles.
• Strong experience working on software/IT projects and managing data-related workstreams.
• Hands-on experience with Microsoft Azure Data Services.
• Strong understanding of data migration methodologies, ETL/ELT, data transformation, and reconciliation.
• Experience in Data Governance, Data Quality, Master Data, Metadata Management, and Data Security.
• Strong experience with BI reporting and dashboard development.
• Good understanding of SQL and relational databases.
• Experience with Power BI and data visualization is highly desirable.
• Knowledge of Azure services such as Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Azure SQL Database, or equivalent.
• Strong understanding of data architecture and data lifecycle management.
• Excellent stakeholder management, communication, analytical, and problem-solving skills.

Dear Candidate,

Greeting from NAM Info Pvt Ltd.

We have a role for Data Engineer position with NAM Info.

This role will be permanent with NAM info and deploy to client

location NEW DELHI~CHENNAI~HYDERABAD~PUNE~KOLKATA.

Work Mode: WORK FROM OFFICE

A decent hike can be provided based on current CTC

Interview Mode: Virtual

Role Descriptions:

Exp Range: 7 - 10 years

City Locations: NEW DELHI~CHENNAI~HYDERABAD~PUNE~KOLKATA

Key Responsibilities*

Role: Data Engineer

Location: ~NEW DELHI~CHENNAI~HYDERABAD~PUNE~KOLKATA

Skills: Digital: Databricks, Azure Data Factory

Experience Required: 8-10

Descriptions:

Good information and sound knowledge in Azure Synapse Analytics Azure Data Factory (ADF)Big Data technologies and data processing frameworks Azure Data Warehouse and associated Azure data platform services Data integration| data modelling| and performance optimization

Desire candidate

• Candidate should have valid PF.

Regards,

NAM Info 

Azure Data Factory and Azure Databricks, processing 5 million+ records/week from 4+ source systems into a governed Lakehouse. 

Job Summary

The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices. (1.) Key Responsibilities

1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.

2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.

3. Design and develop etl processes, data models, and data integration solutions.

4. Provide technical guidance and mentorship to the team members.

5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.

6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.

7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.

Skill Requirements

1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.

2. Strong experience with sql and oracle pl/sql for data querying and manipulation.

3. Advanced programming skills in python for scripting and data processing tasks.

4. Knowledge of data modeling, data warehousing concepts, and database design principles.

5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.

6. Strong analytical and problem-solving skills with attention to detail.

7. Experience in data visualization tools and techniques is a plus.

Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.

Skill (Primary)

Data Fabric-Azure-Azure Data Factory (ADF)

🚀 We’re Hiring: Technical Lead– Dynamics 365 CRM

Are you a seasoned Dynamics 365 CRM/CE professional with strong technical leadership and architecture experience?

We’re looking for a hands-on Lead/Architect with 8+ years of relevant experience to lead end-to-end D365 CRM implementations and drive scalable, high-performing solutions.

🔹 Key Skills: Dynamics 365 CRM/CE, Dataverse, C#, .NET, JavaScript

🔹 Expertise: Plugins, Workflows, Customizations, APIs & Integrations

🔹 Azure: Logic Apps, Functions, Service Bus

🔹 ALM: Azure DevOps, CI/CD & Release Management

🔹 Bonus: Experience with D365 FinOps/ERP integrations and Airlines or Freight/Logistics domain

📍 Location: Kochi / Trivandrum

⏱️ Joining: Immediate joiners preferred

If you have the technical expertise, leadership mindset, and passion for delivering enterprise-scale CRM solutions, we’d love to hear from you!

As a techno-functional consultant you will be responsible for delivering and optimizing end-to-end solutions on the Dynamics 365 platform by bridging business requirements with technical implementation. The role focuses on configuring and enhancing Dynamics 365 Customer Service and Field Service modules, enabling seamless integration with SAP systems, and supporting multiple Power Pages portals for customers and subcontractors. The objective is to ensure efficient business process execution, secure and scalable integrations, and improved user experience through continuous collaboration with stakeholders, proactive problem-solving, and adherence to best practices and standards.

Tasks & Responsibilities: 

• Bridge the gap between business requirements and technical delivery across D365 Customer Service and Field Service
• Contribute to functional workshops, requirement gathering sessions, and solution design discussions with business stakeholders
• Good to have basic process understanding of SAP system.
• Configure D365 modules and implement light customizations — plugins, custom APIs, JS/TS, and Power Automate flows
• Design end-to-end solutions covering data model, SLAs, entitlements, and integrations
• Support UAT, produce functional specification document, and ensure solutions align with Microsoft best practices
• Training delivery and end-user adoption support post go-live
• Understanding of Model-Driven App design including entities, forms, views, dashboards, security roles etc.
• Strong client relationships to engage business and technical audiences equally
• Prepare and maintain key project documentation including Functional Specification Documents (FSD), Solution Design Documents (SDD), business process flows, and UAT documents
• Create and manage user stories, acceptance criteria, and test cases in Azure DevOps, ensuring traceability and alignment with business requirements

Education & Trainings + Certifications:

• At least 6 to 8 years of relevant experience in Dynamics 365, Field Service, Power Pages.
• Proven expertise with Dynamics 365 functional area, documentations, design, development, end-to-end implementations and solutions.

Technical know-how: 

• Strong understanding of Dynamics 365 Customer Service and Field Service modules, including case management, SLAs, entitlements, work orders, and scheduling
• Hands-on experience with Microsoft Dataverse, including entity design, relationships, forms, views, business rules, and security model
• Working knowledge of Model-Driven App development and customization
• Ability to implement light customizations using C#, .NET plugins, custom workflows, Web APIs, JavaScript/TypeScript
• Experience with Power Platform tools including Power Automate and basic exposure to Power Pages (portal configuration and customization)
• Good understanding of integration concepts, including REST/SOAP APIs and experience integrating D365 with external systems (preferably SAP)
• Experience with Azure DevOps for managing user stories, test cases, backlog, and release tracking
• Understanding of software development lifecycle (SDLC), Agile methodology, and UAT processes
• Knowledge of documentation standards including FSD, SDD, use cases, and business process mapping
• Good understanding of security concepts including role-based access, data security, and portal authentication mechanisms 

Soft Skills:

• Good team player skills to be able to work within a global team with shared global responsibilities
• Strong service orientation
• Solution-oriented and structured way of working
• Friendly, communicative and team-oriented player
• Business fluent English skills, spoken and written
• Intercultural competence 

Job Description

We are looking for an experienced Azure Synapse Data Engineer with strong hands-on expertise in Azure data engineering, data warehousing, ETL/ELT, and SQL performance optimization.

Key Responsibilities

• Design, develop, and optimize solutions using Azure Synapse Analytics.
• Build and maintain data integration pipelines using Azure Data Factory (ADF) and Synapse Pipelines.
• Design and implement scalable Azure Data Lake Storage Gen2 (ADLS Gen2) architectures.
• Develop robust and high-performance ETL/ELT frameworks for enterprise data platforms.
• Monitor and troubleshoot large-scale data ingestion, transformation, and processing workloads.
• Identify and resolve performance bottlenecks across data movement and transformation processes.
• Ensure data quality, availability, reliability, and consistency across analytics platforms.
• Perform advanced SQL query analysis and optimization.
• Analyze execution plans and optimize complex analytical workloads.
• Configure and tune Synapse Dedicated SQL Pools.
• Design efficient partitioning strategies for large datasets.
• Optimize indexing, statistics, and workload distribution to improve query performance.

Mandatory Skills

• Azure Synapse Analytics
• Azure Data Factory (ADF)
• Synapse Pipelines
• ADLS Gen2
• ETL/ELT
• Strong SQL
• Synapse Dedicated SQL Pool
• SQL query/execution plan optimization
• Partitioning, indexing, and statistics
• Azure data warehouse / data lake architecture
• Performance tuning and troubleshooting

Ideal Candidate

A strong Azure Data Engineer with hands-on experience in Synapse + ADF + ADLS Gen2 + Advanced SQL + Dedicated SQL Pool performance tuning.

Technical Lead - D365FO

Technical Lead – D365 Finance & Operations (D365FO)

Experience: 7–9 Years

Location: As per business requirement

Job Summary

We are looking for an experienced Technical Lead – D365FO to lead the design, development, customization, integration, and support of Microsoft Dynamics 365 Finance & Operations solutions. The candidate should have strong technical expertise in X++, D365FO architecture, integrations, reporting, and development best practices, along with experience leading technical teams.

Key Responsibilities

• Lead the technical design, development, customization, and implementation of D365 Finance & Operations solutions.
• Develop and customize D365FO using X++, extensions, Chain of Command (CoC), event handlers, and frameworks.
• Design and implement integrations between D365FO and external systems using OData, REST APIs, SOAP, Data Management Framework (DMF), and Azure services.
• Develop and maintain SSRS reports, Electronic Reporting (ER), workflows, batch jobs, and data entities.
• Analyze business requirements and translate them into scalable and maintainable technical solutions.
• Lead code reviews, technical estimations, performance optimization, debugging, and troubleshooting.
• Work closely with functional consultants, business stakeholders, architects, and offshore/onshore development teams.
• Ensure adherence to Microsoft D365FO development standards, best practices, and coding guidelines.
• Manage deployments across development, test, UAT, and production environments.
• Mentor developers and provide technical guidance to the team.

Mandatory Technical Skills

• 7–9 years of experience in Microsoft Dynamics AX/D365FO development.
• Strong hands-on experience in X++ development.
• Strong knowledge of D365FO architecture and extensibility framework.
• Experience with Chain of Command, extensions, event handlers, delegates, and overlayering concepts.
• Expertise in D365FO integrations and Data Management Framework (DMF).
• Experience with OData, REST APIs, SOAP, and web services.
• Hands-on experience with SSRS, Electronic Reporting, workflows, batch processing, and data entities.
• Strong knowledge of SQL Server and database concepts.
• Experience with Visual Studio, Azure DevOps, Git, and source control.
• Good understanding of Azure services and cloud-based integrations.

Good to Have

• Experience with Power Platform, Power Automate, and Power BI.
• Knowledge of Lifecycle Services (LCS) and D365FO environment management.
• Experience with Performance Monitoring and Optimization (PerfTimer, Trace Parser, SQL optimization).
• Knowledge of D365FO security, roles, privileges, and duties.
• Microsoft Dynamics 365 Finance & Operations certification is an advantage.
• Experience working in Agile/Scrum development environments.

Roles & Responsibilities

• Design, develop, and deliver scalable end-to-end data pipelines using Azure Data Factory, ensuring robust integration

of enterprise-wide data from diverse sources

• Build and optimize data engineering workflows using Databricks and PySpark

• Write efficient, high-performance SQL for data transformation and analysis

• Work with the Azure Cloud platform and associated services, applying strong understanding of data warehousing,

data models, and pipelines

• Provide technical leadership to a team of developers, including code reviews and enforcing best practices across the

development lifecycle

• Oversee CI/CD implementation using Azure DevOps, managing deployments across development, QA, and production

environments with proper change control processes

• Collaborate with cross-functional teams to translate business requirements into scalable data solutions

• Ensure data quality, reliability, and performance across all pipelines and platforms

Ideal Candidate

1Strong Azure Databricks Engineer / Senior Data Engineer Profile

2Mandatory (Experience 1) – Must have minimum 8+ years of overall experience in Data Engineering, Data Development, or related data technology roles, with strong hands-on experience in enterprise data pipeline development.

3Mandatory (Experience 2) – Must have strong hands-on experience with Azure Databricks, including development and optimization of scalable data engineering workflows using Databricks and PySpark.

4Mandatory (Experience 3) – Must have strong hands-on proficiency in PySpark/Python and SQL, with proven experience developing complex data transformations, processing workflows, and performance-optimized queries.

5Mandatory (Experience 4) – Must have hands-on experience with Azure Data Factory (ADF) for designing, developing, and orchestrating end-to-end data pipelines and integrating data from multiple sources.

6Mandatory (Experience 5) – Must have strong experience working on the Azure Cloud platform and associated data services, with solid understanding of data warehousing, data modeling, pipeline architecture, and enterprise data solutions.

7Mandatory (Experience 6) – Must have hands-on experience implementing CI/CD using Azure DevOps, including deployment and release management across development, QA, and production environments.

8Mandatory (Experience 7) – Must have proven technical leadership experience, including code reviews, enforcing development best practices, mentoring developers, and providing technical guidance to a data engineering team.

9Mandatory (Notice Period) – Immediate joiners or candidates who can join within 15 days.

10Mandatory (Note) - The position is open across all Cognizant offices pan India. Candidates must be willing to attend the F2F interview at the nearest Cognizant office location.

Job Description

• Design and Implement Data Solutions: Lead the design, development, and implementation of scalable and secure Azure-

based data platforms, ensuring integration with various data sources and business systems. Deliver at least 2 major

projects every year with a focus on data engineering best practices.

• Optimize Data Pipelines: Build and optimize end-to-end data pipelines using Azure Data Factory, Azure Databricks, and

Azure Synapse, with an emphasis on automating data workflows. Achieve a 20% reduction in pipeline execution times

within the first 6 months.

• Cloud Infrastructure Management: Manage and maintain the Azure data environment, ensuring high availability, disaster

recovery, and cost optimization. Track and improve system uptime to exceed 99.9% reliability.

• Collaborate with Cross-Functional Teams: Partner with data scientists, data analysts, and business stakeholders to translate

business requirements into efficient data solutions. Facilitate at least 3 collaborative sessions per quarter to address key

business use cases.

• Ensure Data Security & Compliance: Implement data security measures, ensuring compliance with industry regulations

(GDPR, HIPAA, etc.) and company policies. Achieve and maintain full compliance in all data environments within the first

quarter of onboarding.

• Continuous Learning & Knowledge Sharing: Stay up-to-date with emerging Azure technologies, and mentor junior

engineers to promote knowledge sharing. Complete 1 Azure certification annually and conduct at least 2 internal

knowledge-sharing sessions per year.

• Sound knowledge of data governance practices, data quality management, and data security principles.

• Play a pivotal role in shaping our organization's data-driven journey, driving innovation through data analytics and insights.

• Optimize data storage, processing and retrieval mechanisms for performance, cost, and scalability using data storage

services (such as Azure Data Lake Storage, Azure SQL Database, etc.), data processing services (such as Azure Data Bricks,

Azure Synapse, etc.) and data visualization (PowerBI, Qlik, etc.) & integration services (Data API builder, logic apps, etc.)

• Monitor and troubleshoot data platform performance, identify and resolve issues, and provide recommendations for

continuous improvement.

• Collaborate with DevOps teams to automate deployment, configuration, and monitoring processes using Azure DevOps,

PowerShell, or other relevant tools.

• Stay up to date with the latest trends and advancements in cloud data services and provide recommendations on adopting

new technologies or features to enhance the data platform.

• Document technical designs, procedures, and guidelines for data platform engineering and operations

Knowledge, Skills & Experience

Job Experience • Bachelor's degree in Computer Science, Engineering, or a related field. Advanced

degree preferred.

• Proven 6-10 years experience in playing platform engineer or admin role

• Experience with big data technologies such as Apache Spark, Hadoop, or similar

frameworks.

• Solid understanding of cloud computing concepts and experience with cloud

infrastructure management and provisioning.

• Solid understanding of network security concepts and technologies (such as

firewalls, VPNs, intrusion detection/prevention systems, etc.) and data security

concepts and technologies (such as access controls, encryption, observability,

privacy laws/regulations, etc.)

• Experience in a Retail setup is preferred.

Required Skills The position will require someone with the following:

• Strategic Planning

Public

• Communication and Collaboration

• Problem Solving Skills A/B testing & experimentation

• SQL, BI tools, and storytelling with data