Dynamics 365 Data migration Engineer\ Developer

Technical Lead 

Job Description 

Role Overview 

We are seeking a highly skilled Data Engineering Lead with minimum of 5 years of hands-on experience in Azure data engineering, data warehousing, and automation-driven  integration. The ideal candidate should be a proven technical lead, capable of driving end-to-end 

project delivery and working closely with customer teams. This is a Work from Office / Customer Site role. 

Roles and Responsibilities 

• Lead the design, development, and delivery of data engineering and automation projects. 

• Architect and implement ETL/ELT pipelines using Azure Data Factory. 

• Design and manage enterprise data warehouses including dimensional modeling and 

schema optimization. 

• Manage Azure components including Storage Accounts, Data Lakes, Azure SQL, and Synapse. 

• Drive automation initiatives across data ingestion and transformation workflows. 

• Collaborate with business and technical stakeholders to translate requirements into scalable solutions. 

• Mentor team members and enforce engineering best practices. 

• Serve as the technical anchor responsible for ensuring high-quality, on-time delivery. 

Skills and Qualification 

• Strong hands-on experience with Azure Data Factory, Azure Storage, Azure SQL/Synapse. 

• Deep understanding of data warehousing concepts: star/snowflake schemas, fact/dimension modeling. 

• Experience with automation-led data engineering solutions. 

• Strong troubleshooting, optimization, and analytical skills. 

• Excellent communication and stakeholder management abilities. 

• Proven experience as a Technical Lead leading teams and delivery. 

Must Have 

• Min of 5 years of relevant data engineering experience. 

• Strong Azure Data Engineering and Data Warehousing expertise. 

• Proven Technical Lead experience. 

• Ability to work from office and customer site. 

• Strong ownership mindset with a focus on quality and delivery excellence.

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 

We are looking for a dynamic Data Engineer to join our team of technology enthusiasts. You will leverage data to drive strategic decision-making and pioneering solutions, working with complex datasets, collaborating closely with stakeholders, and transforming data into actionable insights to drive innovation.

Qualifications and Skills:

• Minimum 5 years of experience as a Data Engineer
• Hands-on experience with Azure cloud-based data solutions
• Expertise in database design and management, including SQL databases such as SQL Server
• Proficient in ETL (Extract, Transform, Load) design for data integration and processing
• Strong knowledge of data modeling principles and techniques
• Ability to analyze and translate data into actionable insights, reports, and visualizations
• Proficiency in Power BI for reporting and data visualization

Desirable Skills:

• Experience with Power BI Report Builder / Reporting Services
• Knowledge of statistical analysis or Data Science
• Experience within the UK Insurance industry is a plus
• Python or R coding skills

Responsibilities:

• Implement efficient data exchange between internal and external systems to increase efficiency and reduce re-keying and translation errors
• Support the Broking business by developing high-quality information resources, ensuring data availability and accessibility for decision-making
• Engineer data inputs and outputs from core applications and semi-structured remote service data through data syncs between data lake, ODS (SQL database), and leveraging Fabric and ADF
• Perform data engineering tasks including ingestion, cleansing, and collation from a wide range of internal and external sources
• Implement different methods of streaming data and create reconciliations for datasets
• Build analytical models to support reporting and analytics
• Collaborate with an agile delivery team to work on the backlog of specified work

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.

Location: Bangalore Experience: 5 to 7 years Employment type: Full-time, permanent Work Hours: General Shift (10.00 AM to 7.00 PM) website: www.amazech.com Qualifications: Minimum B.E./B.Tech, or higher in Computer Science, Information Technology, Data Engineering, or a related field, with a good academic background. Key Responsibilities: • Design, develop, and maintain end-to-end data pipelines. • Build and optimize ETL/ELT processes for large-scale data processing. • Implement Azure-based data solutions ensuring scalability and performance. • Collaborate with stakeholders to understand business data requirements. • Perform performance tuning and optimization across data platforms. • Support production environments, conduct root cause analysis, and resolve data-related issues. • Maintain comprehensive technical documentation and structured knowledge transfer documents. • Work effectively within Agile/Scrum frameworks and contribute to sprint planning and delivery. • Ensure secure and compliant data handling using Azure best practices. Required Skills & Experience • End-to-end ETL/ELT pipeline development, integration, and performance optimization • Azure Synapse, Azure Logic Apps, Azure SQL, and Azure Databricks, with a strong focus on performance tuning • Microsoft Azure services, including Storage Accounts, Key Vault, and Cognitive Services • Advanced proficiency in Python development and modern productivity tools such as GitHub Copilot and Cursor • Strong documentation discipline, including technical design documentation, and structured knowledge transfer documents • Experience operating within Agile/Scrum frameworks, including production support, root cause analysis, and effective stakeholder collaboration

Role Overview

We are looking for an experienced Microsoft Dynamics CRM / Dynamics 365 Developer with strong expertise in CRM customization, configuration, integration, and Agile delivery. The candidate will be responsible for designing, developing, customizing, integrating, and supporting Dynamics CRM solutions aligned with business requirements.

Key Responsibilities

• Customize and configure Microsoft Dynamics CRM / Dynamics 365 CE based on business requirements.
• Develop and maintain entities, fields, relationships, forms, views, dashboards, business rules, workflows, and business process flows.
• Develop CRM solutions using plugins, custom workflows, JavaScript, Power Automate, and custom APIs.
• Design and implement integrations between Dynamics CRM and external systems using REST/SOAP APIs, Azure services, middleware, and web services.
• Work with CRM security roles, business units, teams, field-level security, and access controls.
• Perform data migration, data validation, and integration-related activities.
• Troubleshoot production issues and provide root-cause analysis and technical fixes.
• Participate in requirements analysis, technical design, development, testing, deployment, and production support.
• Follow development standards, maintain technical documentation, and participate in code reviews.
• Collaborate with functional consultants, business stakeholders, QA teams, and other developers.
• Work effectively within an Agile/Scrum development environment, participating in sprint planning, daily stand-ups, reviews, and retrospectives.

Required Skills

• Strong hands-on experience with Microsoft Dynamics CRM / Dynamics 365 Customer Engagement.
• Good knowledge of CRM customization and configuration.
• Experience with C#, .NET, JavaScript, SQL Server, and Dynamics 365 SDK/API.
• Experience developing plugins, custom workflow activities, Power Automate flows, and JavaScript customizations.
• Strong understanding of Dynamics 365 Web API / REST APIs and third-party integrations.
• Experience with solution management, deployments, and environment management.
• Understanding of CRM data model, security model, and business processes.
• Experience working with Azure integration services is an advantage.
• Good understanding of Agile/Scrum methodologies and SDLC.
• Strong analytical, troubleshooting, communication, and problem-solving skills.

Preferred Qualifications

• Microsoft Dynamics 365 / Power Platform certifications.
• Experience with Power Apps, Dataverse, Power Automate, Azure Functions, Logic Apps, or Service Bus.
• Experience with CI/CD and DevOps practices using Azure DevOps.
• Exposure to Dynamics 365 Sales, Customer Service, Field Service, or related modules.

Data Engineer – Microsoft Fabric

Location: Pune, India

Work Mode: Hybrid

Experience: 6+ Years

Employment Type: Full-time contactor

Compensation: As per market standards, commensurate with experience and expertise

Shift Timings: 2:00 PM – 11:00 PM IST

Notice Period: 0 – 15 days

About the Role

Jade Business Services (JBS) is seeking a Data Engineer – Microsoft Fabric to join our Pune team and work on enterprise-scale data transformation and analytics initiatives.

We are looking for a hands-on Data Engineer with strong experience in Microsoft Fabric, SQL, Python/PySpark and modern data engineering practices. The candidate will be responsible for building scalable data pipelines, implementing Lakehouse and Warehouse solutions, developing data models and supporting governed, reliable and AI-ready data platforms.

The ideal candidate should be comfortable working with architects, engineering teams and client stakeholders to translate business requirements into scalable and production-ready data solutions.

Roles and Responsibilities

• Design and develop data solutions using Microsoft Fabric, including OneLake, Lakehouse, Warehouse and Data Factory pipelines.
• Build and maintain scalable ETL/ELT pipelines for batch and incremental data processing.
• Develop data ingestion and transformation pipelines using Fabric Data Factory, SQL, Python and/or PySpark.
• Implement Medallion Architecture using Bronze, Silver and Gold layers.
• Work with Lakehouse and Fabric Warehouse for enterprise data processing and analytics.
• Develop and maintain data models, tables, views and optimized SQL queries.
• Build and support semantic models for Power BI and analytical workloads.
• Implement data quality, validation, monitoring and error-handling mechanisms.
• Work with metadata, lineage and governance requirements using Microsoft Purview.
• Implement data security, access controls and role-based permissions across data platforms.
• Support Data Product and domain-oriented data architecture principles.
• Follow DataOps practices including CI/CD, deployment, monitoring and production support.
• Troubleshoot pipeline failures, performance issues and data quality problems.
• Optimize data pipelines, queries and storage for performance and cost efficiency.
• Work closely with Data Architects and business stakeholders to understand requirements and implement technical solutions.
• Participate in technical design discussions, code reviews and architecture reviews.
• Maintain technical documentation, data flow diagrams and pipeline documentation.
• Support production deployments, incident resolution and SLA-driven data platform operations.
• Identify opportunities for automation and AI-assisted improvements across data engineering processes.

Qualifications and Skills

• 6+ years of experience in Data Engineering, Data Integration or Data Platform development.
• Strong hands-on experience with Microsoft Fabric.
• Experience with:
• Microsoft Fabric Lakehouse
• Fabric Warehouse
• OneLake
• Fabric Data Factory / Pipelines
• Semantic Models
• Strong understanding of Lakehouse and Medallion Architecture.
• Strong SQL development and query optimization skills.
• Hands-on experience with Python and/or PySpark.
• Experience developing enterprise ETL/ELT and data integration pipelines.
• Experience with batch and incremental data processing.
• Understanding of data modelling concepts including dimensional modelling.
• Knowledge of data quality, metadata, lineage and data governance.
• Working knowledge of Microsoft Purview.
• Understanding of Data Mesh and Data Product concepts.
• Experience with CI/CD, version control, monitoring and DataOps practices.
• Understanding of cloud security, access controls and data privacy.
• Good troubleshooting and problem-solving skills.
• Strong communication skills and ability to work with distributed and client-facing teams.

Preferred Skills

• Microsoft Fabric or Azure Data certifications.
• Experience migrating workloads from Azure Synapse, SQL Server, Databricks or other data platforms to Microsoft Fabric.
• Experience implementing Medallion Architecture on Microsoft Fabric.
• Experience with Power BI and semantic modelling.
• Exposure to AI/ML, Generative AI or Agentic AI use cases on enterprise data platforms.
• Experience working with Data Products or domain-oriented data solutions.
• Experience in Energy & Utilities, Healthcare, Financial Services or Insurance.
• Experience working with US or international enterprise clients.

What We Expect

The ideal candidate should be hands-on first and capable of independently building, troubleshooting and optimizing Fabric data solutions. You should be able to explain the technical decisions behind your implementation and work effectively with architects and engineering teams to deliver production-ready solutions.