Description
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, PySpark (must have),Azure Data Factory, SQL, any cloud (preferably Azure)and Data Modelling.
Experience Level: 4 to 6 Years
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Strong Pyspark and SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks,
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
•
Strong Communication, stakeholder management skills. Strong in requiremnt gahthering and
Qualifications:
• Having relevant Experience in MS Azure data bricks with Pyspark and Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Spark, Databricks and ADF
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Implementation experience with CICD tools such as Azure DevOps, GITHUB is desirable.
Responsibilities
Description
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, PySpark (must have),Azure Data Factory, SQL, any cloud (preferably Azure)and Data Modelling.
Experience Level: 4 to 6 Years
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Strong Pyspark and SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks,
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
•
Strong Communication, stakeholder management skills. Strong in requiremnt gahthering and
Qualifications:
• Having relevant Experience in MS Azure data bricks with Pyspark and Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Spark, Databricks and ADF
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Implementation experience with CICD tools such as Azure DevOps, GITHUB is desirable.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description:
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, PySpark (must have),Azure Data Factory, SQL, any cloud (preferably Azure)and Data Modelling.
Experience Level: 7+ to 9 Years
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Strong Pyspark and SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks,
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
Strong Communication, stakeholder management skills. Strong in requiremnt gahthering and
Qualifications:
• Having relevant Experience in MS Azure data bricks with Pyspark and Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Spark, Databricks and ADF
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Implementation experience with CICD tools such as Azure DevOps, GITHUB is desirable.
Responsibilities
Description:
We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. You will play a crucial role in our data ecosystem by working with cloud technologies to enable data accessibility, quality, and insights across the organization. This role requires expertise in Azure Databricks, PySpark (must have),Azure Data Factory, SQL, any cloud (preferably Azure)and Data Modelling.
Experience Level: 7+ to 9 Years
• Bachelor’s in Computer Science, Data Engineering, or related field.
• Proficiency in Azure Databricks for data processing and pipeline orchestration.
• Strong Pyspark and SQL skills and understanding of data modeling principles.
• Ability to troubleshoot and optimize data workflows.
Key Responsibilities:
• Data Pipeline Development: Design, build, and optimize data pipelines to ingest, transform, and load data from multiple sources, using Azure Databricks,
• Data Architecture: Develop and manage data models within Snowflake, ensuring efficient data organization and accessibility.
• Performance Optimization: Monitor and optimize pipeline performance, troubleshooting and resolving issues as needed.
• Collaboration: Work closely with data scientists, analysts, and other stakeholders to support data-driven projects and provide access to reliable, well-structured data.
Strong Communication, stakeholder management skills. Strong in requiremnt gahthering and
Qualifications:
• Having relevant Experience in MS Azure data bricks with Pyspark and Big Data Hadoop eco-system components
• Understanding of Hadoop Architecture and underlying framework including Storage Management.
• Strong understand and implementation experience in Spark, Databricks and ADF
• Expertise in implementing Data lake solution using Scala as well as Python.
• Expertise with orchestration tool like Azure Data Factory
• Strong SQL and Programing skills
• Experience with DataBricks is desirable
• Implementation experience with CICD tools such as Azure DevOps, GITHUB is desirable.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Skill – IVR Automation (Cyara), SFDC (Secondary Skill)
IVR Automation Testing (Cyara) and secondary skill is Salesforce testing.
Experience – 10 yrs to 14 Yrs
Location – PAN India
Notice Period – 30- 90 Days
Responsibilities
Skill – IVR Automation (Cyara), SFDC (Secondary Skill)
IVR Automation Testing (Cyara) and secondary skill is Salesforce testing.
Experience – 10 yrs to 14 Yrs
Location – PAN India
Notice Period – 30- 90 Days
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
• Extensive hands-on experience in configuring and managing IBM MQ Multi-Instance Queue Managers and MQ Cluster environments for High Availability and Load Balancing.
• Strong understanding of resilient messaging architecture, failover mechanisms, and disaster recovery strategies in IBM MQ environments.
• Strong experience in IBM MQ installation, configuration, administration, and troubleshooting on Linux/AIX/Windows platforms.
• Experience in Queue Manager creation, clustering, channels, listeners, queues, and security configuration.
• Good knowledge of High Availability (HA), Disaster Recovery (DR), and failover setup for MQ environments.
• Experience in MQ monitoring, performance tuning, and issue resolution.
• Experience in SSL/TLS configuration, CHLAUTH, OAM, and MQ security best practices.
• Experience in migration, upgrade, and patching activities of IBM MQ.
• Apply OS Patching using SEROM Tools.
• Ability to support production environments and handle incident/problem management.
• Good understanding of integration middleware environments and support processes.
Good to have (optional)
• Exposure to RabbitMQ administration and messaging concepts is an added advantage.
• Good to have experience with Nastel Monitoring tools for MQ admin and Performance Monitoring
Responsibilities
• Extensive hands-on experience in configuring and managing IBM MQ Multi-Instance Queue Managers and MQ Cluster environments for High Availability and Load Balancing.
• Strong understanding of resilient messaging architecture, failover mechanisms, and disaster recovery strategies in IBM MQ environments.
• Strong experience in IBM MQ installation, configuration, administration, and troubleshooting on Linux/AIX/Windows platforms.
• Experience in Queue Manager creation, clustering, channels, listeners, queues, and security configuration.
• Good knowledge of High Availability (HA), Disaster Recovery (DR), and failover setup for MQ environments.
• Experience in MQ monitoring, performance tuning, and issue resolution.
• Experience in SSL/TLS configuration, CHLAUTH, OAM, and MQ security best practices.
• Experience in migration, upgrade, and patching activities of IBM MQ.
• Apply OS Patching using SEROM Tools.
• Ability to support production environments and handle incident/problem management.
• Good understanding of integration middleware environments and support processes.
Good to have (optional)
• Exposure to RabbitMQ administration and messaging concepts is an added advantage.
• Good to have experience with Nastel Monitoring tools for MQ admin and Performance Monitoring
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
Description
We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to design,
fine-tune, and deploy cutting-edge AI-driven text applications. The ideal candidate will have hands-on experience in prompt engineering, transformer-based model fine-tuning, and ML Ops practices for scalable deployment.
Key Responsibilities
Collaborate with Daimler’s business units and identify and support high-impact AI use cases.
Design and develop LLM-based applications using models such as GPT, Claude, LLaMA, etc
Fine-tune and optimize LLMs for tasks including sentiment analysis, summarization, translation, and conversational AI.
Work with embeddings, tokenization, and vector databases (e.g., FAISS, Pinecone, OpenSearch, Azure AI Search) for semantic search and retrieval.
Integrate AI models into production systems in collaboration with product and engineering teams.
Apply ML Ops best practices for model lifecycle management, including versioning, monitoring, and CI/CD pipelines
Ensure compliance with ethical AI standards, data privacy regulations, and GDPR.
Communicate findings and recommendations effectively to executive stakeholders through high-quality deliverables and presentations.
Required Skills & Qualifications:
Proven experience with NLP libraries and frameworks such as Hugging Face Transformers, spaCy, NLTK, and OpenAI API.
Strong Python programming and SQL skills.
Solid understanding of AI agents and agentic AI patterns.
Understanding of vector databases and semantic search.
Experience with model optimization techniques such as quantization and distillation.
Solid understanding of ML Ops tools and practices for managing AI workflows in production.
Experience with cloud platforms (AWS, Azure, Snowflake) and containerization (Docker, Kubernetes).
Familiarity with data governance, model interpretability, and responsible AI frameworks.
Demonstrated success in deploying at least one LLM-based application to production.
Strong problem-solving skills, attention to detail, and ability to work in cross-functional teams.
Responsibilities
Description
We are seeking a highly skilled AI Engineer with deep expertise in Large Language Models (LLMs) and Natural Language Processing (NLP) to design,
fine-tune, and deploy cutting-edge AI-driven text applications. The ideal candidate will have hands-on experience in prompt engineering, transformer-based model fine-tuning, and ML Ops practices for scalable deployment.
Key Responsibilities
Collaborate with Daimler’s business units and identify and support high-impact AI use cases.
Design and develop LLM-based applications using models such as GPT, Claude, LLaMA, etc
Fine-tune and optimize LLMs for tasks including sentiment analysis, summarization, translation, and conversational AI.
Work with embeddings, tokenization, and vector databases (e.g., FAISS, Pinecone, OpenSearch, Azure AI Search) for semantic search and retrieval.
Integrate AI models into production systems in collaboration with product and engineering teams.
Apply ML Ops best practices for model lifecycle management, including versioning, monitoring, and CI/CD pipelines
Ensure compliance with ethical AI standards, data privacy regulations, and GDPR.
Communicate findings and recommendations effectively to executive stakeholders through high-quality deliverables and presentations.
Required Skills & Qualifications:
Proven experience with NLP libraries and frameworks such as Hugging Face Transformers, spaCy, NLTK, and OpenAI API.
Strong Python programming and SQL skills.
Solid understanding of AI agents and agentic AI patterns.
Understanding of vector databases and semantic search.
Experience with model optimization techniques such as quantization and distillation.
Solid understanding of ML Ops tools and practices for managing AI workflows in production.
Experience with cloud platforms (AWS, Azure, Snowflake) and containerization (Docker, Kubernetes).
Familiarity with data governance, model interpretability, and responsible AI frameworks.
Demonstrated success in deploying at least one LLM-based application to production.
Strong problem-solving skills, attention to detail, and ability to work in cross-functional teams.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
We are seeking a skilled Power Platform Developer to design, develop, and implement business solutions using Microsoft Power Platform tools—Power Apps, Power Automate, Power BI, Power Pages, and Copilot Studio. The ideal candidate will have a strong understanding of business processes and technical expertise to deliver scalable, secure, and user-friendly applications.
Key Responsibilities:
· Develop custom applications using Power Apps to streamline business operations.
· Automate workflows and processes using Power Automate.
· Create interactive dashboards and reports using Power BI for data-driven decision-making.
· Integrate Power Platform solutions with Microsoft services, Azure, and third-party systems.
· Maintain and enhance existing Power Platform applications.
· Provide training and support to end-users.
· Stay updated with the latest Power Platform features and best practices.
Required Skill and Qualifications:
· Expert level experience in Microsoft Power Platform (Dynamics using Dataverse, Power Pages and Power App) and Power Automate.
· 4+ years in business/application analysis, automation solutions, or Power Platform development
· Proven expertise in Power Apps, Dynamics and Power Automate, including enterprise-scale deployment and optimization
· Extensive experience supporting and enhancing low-code/no-code applications in complex environments
· Advanced proficiency in Power Platform Pipelines integrations and/or using Github Actions for deploying apps to Power Platform.
· Strong knowledge of application lifecycle management, low-code development, and cloud technologies
· Ability to work and support a team of developers who are new to the platform
· Expertise in translating technical capabilities into actionable business strategies
· Expertise in Dynamics 365 - Model Driven Apps - Customer Experience Module
· Experience in building reports using Power BI
· Experience in working in Agile project delivery in high stress projects
· Experience in JavaScript and bootstrap
· Experience in Plugin development using C#
· Experience in developing SQL Queries in Oracle, MS-SQL databases
· Experience using Visual Studio Editor, Xrmb toolbox
· Perform solution envisioning and requirement analysis
· Microsoft Certified: Power Platform Developer Associate
· Bachelor’s degree in computer science, Information Technology, or a related field.
· Strong problem-solving and communication skills.
Preferred Certifications:
· Microsoft Certified: Power Platform Fundamentals (PL-900)
· PL-100, PL-200, or other advanced Power Platform certifications.
Nice to Have:
· Experience with SharePoint, Git, Copilot Studio, and Power Pages.
· Exposure to other low-code/no-code platforms like UiPath, Blue Prism, or Pega.
Responsibilities
We are seeking a skilled Power Platform Developer to design, develop, and implement business solutions using Microsoft Power Platform tools—Power Apps, Power Automate, Power BI, Power Pages, and Copilot Studio. The ideal candidate will have a strong understanding of business processes and technical expertise to deliver scalable, secure, and user-friendly applications.
Key Responsibilities:
· Develop custom applications using Power Apps to streamline business operations.
· Automate workflows and processes using Power Automate.
· Create interactive dashboards and reports using Power BI for data-driven decision-making.
· Integrate Power Platform solutions with Microsoft services, Azure, and third-party systems.
· Maintain and enhance existing Power Platform applications.
· Provide training and support to end-users.
· Stay updated with the latest Power Platform features and best practices.
Required Skill and Qualifications:
· Expert level experience in Microsoft Power Platform (Dynamics using Dataverse, Power Pages and Power App) and Power Automate.
· 4+ years in business/application analysis, automation solutions, or Power Platform development
· Proven expertise in Power Apps, Dynamics and Power Automate, including enterprise-scale deployment and optimization
· Extensive experience supporting and enhancing low-code/no-code applications in complex environments
· Advanced proficiency in Power Platform Pipelines integrations and/or using Github Actions for deploying apps to Power Platform.
· Strong knowledge of application lifecycle management, low-code development, and cloud technologies
· Ability to work and support a team of developers who are new to the platform
· Expertise in translating technical capabilities into actionable business strategies
· Expertise in Dynamics 365 - Model Driven Apps - Customer Experience Module
· Experience in building reports using Power BI
· Experience in working in Agile project delivery in high stress projects
· Experience in JavaScript and bootstrap
· Experience in Plugin development using C#
· Experience in developing SQL Queries in Oracle, MS-SQL databases
· Experience using Visual Studio Editor, Xrmb toolbox
· Perform solution envisioning and requirement analysis
· Microsoft Certified: Power Platform Developer Associate
· Bachelor’s degree in computer science, Information Technology, or a related field.
· Strong problem-solving and communication skills.
Preferred Certifications:
· Microsoft Certified: Power Platform Fundamentals (PL-900)
· PL-100, PL-200, or other advanced Power Platform certifications.
Nice to Have:
· Experience with SharePoint, Git, Copilot Studio, and Power Pages.
· Exposure to other low-code/no-code platforms like UiPath, Blue Prism, or Pega.
Salary : As per industry standard.
Industry :IT-Software / Software Services
Functional Area : IT Software - Application Programming , Maintenance
