43 Azure Hdinsight Jobs

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include: Comprehensive Feature Development and Issue Resolution: Working on the end-to-end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue Resolution: Collaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology Integration: Being eager to learn new technologies and implementing the same in feature development Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Relevant experience with APIM, Azure API Management experience Proficient in .Net * Proficient with Azure Platform Development (Azure Functions, Azure Services etc) Candidate should be from .NET background Azure Services like Azure Functions , API Integration , Logic Apps, APIM, Azure Storage (Blob, Table), Cosmos DB etc Preferred technical and professional experience .Net Azure Full stack Proficient in .Net Core with hands on coding in .Net core

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5-8 years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Knowledge or experience of Snowflake will be an added advantage

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5-8 years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Knowledge or experience of Snowflake will be an added advantage

SUMMARY Job Role: Node.js with Azure Developer Location: Pune Experience: 5+ years Must-Have: The ideal candidate should possess a minimum of 4 years of relevant experience in Node.js with Azure Development. We are seeking a motivated and skilled Azure AAD Developer with expertise in crafting cloud-based solutions using Microsoft Azure and Node.js. This position is perfect for an individual who is enthusiastic about advancing in cloud-native development and contributing to the creation of scalable integration solutions. What You Will Do: Develop and manage integration workflows utilizing Azure Logic Apps and Azure Functions. Aid in the implementation of messaging solutions using Azure Service Bus, Event Grid, and Event Hub. Provide support for API development and management using Azure API Management. Work collaboratively with senior developers and architects to deliver scalable cloud solutions. Participate in code reviews, testing, and deployment processes. What You Will Need: Education & Experience: 4 to 6 years of experience in software development, with a minimum of 2+ years in Azure. BE/BTech degree in a technical field or equivalent combination of education and experience. Knowledge, Skills & Abilities: Proficiency in Node.js and JavaScript development. Experience in API and RESTful service development. Exposure to Azure integration tools and messaging services. Cloud Development Experience Azure (App services, API Management, Azure Function, Azure Logic Apps) AZ-204 certification is a plus. Hands-on experience with Azure Logic Apps, Azure Functions, Azure messaging services, API Management, Azure Service Bus, Event Grid, and Event Hub. Strong problem-solving and communication skills. [ Reporting Relationships: ]() Will report to a Manager, Product Delivery and has no direct reports. Working Conditions: The work environment will primarily be an air-conditioned office setting requiring the employee to sit for prolonged periods while concentrating on a computer screen. Requirements Requirements: 4-6 years of software development experience, with at least 2+ years in Azure BE/BTech degree in a technical field or equivalent combination of education and experience Proficiency in Node.js and JavaScript development AZ-204 certification is a plus

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

Experienced in backend and integration development using .NET framework, Microservices, RESTful APIs and SOAP services. Experience in using Azure Integration Services, as well as core Azure components, such as APIM, Azure Functions, Logic Apps, Service Bus, Azure AD, Azure KeyVault, etc. Experience with the OAuth authorisation framework and OpenID Connect authentication protocol Experience in designing, coding and testing solutions targeted for Azure Good understanding of patterns of synchronous and asynchronous communication, such as request-reply, messaging, event-driven architecture, and their implementation in Azure environment Knowledge of network protocols such as SFTP, SCP, FTP, SSH key-based authentication Experience in using API tools such as Postman, SoapUI, etc Knowledge in contract-first API approach with Swagger 2 or OpenAPI 3 Experience in using Git for version control Knowledge in CI/CD automated builds, pipelines, and releases Knowledge of Agile and DevOps methods of delivering projects Location: Bangalore, Mumbai, Pune, Chennai, Hyderabad, Kolkata

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 6 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on Azure Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Exposure to streaming solutions and message brokers like Kafka technologies Experience Unix / Linux Commands and basic work experience in Shell Scripting Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

As a Software Developer you'll participate in many aspects of the software development lifecycle, such as design, code implementation, testing, and support. You will create software that enables your clients' hybrid-cloud and AI journeys. Your primary responsibilities include: Comprehensive Feature Development and Issue ResolutionWorking on the end-to-end feature development and solving challenges faced in the implementation. Stakeholder Collaboration and Issue ResolutionCollaborate with key stakeholders, internal and external, to understand the problems, issues with the product and features and solve the issues as per SLAs defined. Continuous Learning and Technology IntegrationBeing eager to learn new technologies and implementing the same in feature development Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Relevant experience with APIM, Azure API Management experience Proficient in .Net Proficient with Azure Platform Development (Azure Functions, Azure Services etc) Candidate should be from .NET background Azure Services like Azure Functions , API Integration , Logic Apps, APIM, Azure Storage (Blob, Table), Cosmos DB etc Preferred technical and professional experience .Net Azure Full stack Proficient in .Net Core with hands on coding in .Net core

Develop templates to automate infrastructure provisioning on Microsoft Azure using scripting language of your choice. Lead troubleshooting investigations to bring quicker issue resolution complex problems impacting our end users. Design implement continuous improvements to monitoring mechanisms. Review application architecture reviews to recommend improvements for better reliability and applciation performance. Identify problems relating to mission critical services and implement automation to prevent problem recurrence; with the goal of automating response to all non-exceptional service conditions. Drive continuous improvement in the Azure platform incorporating feedback. Enthusiastic, self-motivated, and a great teammate. Engage in application performance analysis and system tuning, and capacity planning Level 3 application support, troubleshooting application (all environments) issues reported by clients or product teams. Troubleshoot issues in production and other environments, applying debugging and problem-solving techniques (e.g., log analysis, non-invasive tests), working closely with Development, QA teams. Qualifications: Strong experience on Azure technologies (WebApp, Azure API, frontdoor, MI\FoG, Compute, network, storage and data combination or any three skill) : IAAS and PAAS VM creations, networks(vnet, traffic manager, load balancer, application gateway ), App services configuration. Function app/ storage account/ cdn/ logic apps/ azure key vault/dns Should have strong understanding of working on Web technologies. IIS/ web application works Strong experience with any scripting language (PowerShell/Python) Experience with Git or similar development repo Understanding of database technologies (SQL/Cosmos/Mongo/PostGreSQL) Strong experience with instrumentation, monitoring and alerting Capable of performing technical deep dives into application design and perform root cause analysis. Experience in designing and configuring high availability for web applications. Passionate for making things better and driving action with a sense of urgency Brings new thinking to challenge existing technology implementations and processes Excellent at building relationships across teams Firm sense of accountability and ownership Desire to understand our businesses and users Understanding of the Reliability and configuration management principles A strong understanding of Windows administration, troubleshooting Windows OS, IIS errors Knowledge of networking, firewalls, load balancers etc. Education: Bachelor's Degree in a technical field

Job Information Job Opening ID ZR_1585_JOB Date Opened 26/11/2022 Industry Technology Job Type Work Experience 6-10 years Job Title Azure API Integration City Bangalore Province Karnataka Country India Postal Code 560002 Number of Positions 4 LocationBangalore, Mumbai, Pune, Chennai, Hyderabad, Kolkata Experienced in backend and integration development using .NET framework, Microservices, RESTful APIs and SOAP services. Experience in using Azure Integration Services, as well as core Azure components, such as APIM, Azure Functions, Logic Apps, Service Bus, Azure AD, Azure KeyVault, etc. Experience with the OAuth authorisation framework and OpenID Connect authentication protocol Experience in designing, coding and testing solutions targeted for Azure Good understanding of patterns of synchronous and asynchronous communication, such as request-reply, messaging, event-driven architecture, and their implementation in Azure environment Knowledge of network protocols such as SFTP, SCP, FTP, SSH key-based authentication Experience in using API tools such as Postman, SoapUI, etc Knowledge in contract-first API approach with Swagger 2 or OpenAPI 3 Experience in using Git for version control Knowledge in CI/CD automated builds, pipelines, and releases Knowledge of Agile and DevOps methods of delivering projects check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#2B39C2;border-color:#2B39C2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered=""> I'm interested

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on Azure Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Exposure to streaming solutions and message brokers like Kafka technologies Experience Unix / Linux Commands and basic work experience in Shell Scripting Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

Develop, maintain, and support scalable and secure applications using .NET (Core/Framework) and Azure cloud services. Design and implement cloud-based solutions utilizing various Azure services, including Azure Functions, App Services, Azure Storage, Azure SQL Database, Azure DevOps, and Azure Kubernetes Service. Collaborate with cross-functional teams, including front-end developers, DevOps engineers, and product managers, to design and deliver end-to-end solutions. Implement RESTful APIs and integrate with third-party services using Azure API Management and other relevant technologies. Write efficient, reusable, and modular code while adhering to best practices, coding standards, and version control using Git. Ensure application performance, scalability, and security by leveraging Azure monitoring tools, logging frameworks, and cloud security best practices. Participate in code reviews, provide feedback, and maintain a culture of continuous improvement. Troubleshoot and resolve application issues, including performance bottlenecks and security vulnerabilities. Create and manage deployment pipelines using Azure DevOps or other CI/CD tools for automated testing and deployment. Work closely with the team to ensure the implementation of cloud solutions meets business requirements, performance expectations, and cost optimizations. Works in the area of Software Engineering, which encompasses the development, maintenance and optimization of software solutions/applications.1. Applies scientific methods to analyse and solve software engineering problems.2. He/she is responsible for the development and application of software engineering practice and knowledge, in research, design, development and maintenance.3. His/her work requires the exercise of original thought and judgement and the ability to supervise the technical and administrative work of other software engineers.4. The software engineer builds skills and expertise of his/her software engineering discipline to reach standard software engineer skills expectations for the applicable role, as defined in Professional Communities.5. The software engineer collaborates and acts as team player with other software engineers and stakeholders. - Grade Specific Develop, maintain, and support scalable and secure applications using .NET (Core/Framework) and Azure cloud services. Design and implement cloud-based solutions utilizing various Azure services, including Azure Functions, App Services, Azure Storage, Azure SQL Database, Azure DevOps, and Azure Kubernetes Service. Collaborate with cross-functional teams, including front-end developers, DevOps engineers, and product managers, to design and deliver end-to-end solutions.

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft BOT Framework Good to have skills : NA Minimum 10+ year(s) of experience is required Educational Qualification : a Must have: BE/Btech/MCA b Good to have: ME/Mtech Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills : Microsoft BOT Framework, SSI: NON SSI: Good to Have Skills :SSI: No Technology Specialization NON SSI : Job Requirements : Key Responsibilities : a Work closely with the client teams to define and architect the solution for our clients Estimating the components required to provide a comprehensive AI solution that meets and exceeds the clients expectations delivering tangible business value to our clients b Candidate is expected to deliver cognitive applications that solve/augment business issues using leading AI technology frameworks c Direct and influence client Bot/Virtual Agent architecture, solutioning and development Technical Experience : a 7-8 years of experience and a thorough understanding of Azure PaaS landscape a 2-3 years of experience in Microsoft AI/Bot Framework b Good to have - Knowledge experience in Azure Machine Learning, AI, Azure HDInsight Professional Attributes : A Should have strong problem-solving and Analytical skills B Good Communication skills C Ability to work independently with little supervision or as a team D Should be able to work and deliver under tight timelines E Candidate should have good analytical skills Educational Qualification: a Must have: BE/Btech/MCA b Good to have: ME/Mtech

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala. Minimum 3 years of experience on Cloud Data Platforms on Azure Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Exposure to streaming solutions and message brokers like Kafka technologies Experience Unix / Linux Commands and basic work experience in Shell Scripting Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill Apply Insights Follow-up Save this job for future reference Did you find something suspiciousReport Here! Hide This Job Click here to hide this job for you. You can also choose to hide all the jobs from the recruiter.

Required Experience 5 - 7 Years Skills Node.js img {max-height240px;} Critical Skills to Possess: At least 5 years of experience as a MERN stack software developer Experience in working in PODs or in an Agile environment as a software developer partnering successfully with the tech leader Proven experience in developing and implementing high performing and scalable solutions Successful track record in working as an individual contributor and in collaboration with other pod members Good knowledge of the software development lifecycle and the process tools Sound industry trends awareness Problem-solver and innovative UI / UXHTML5, CSS, React.js, Next.js, Microsoft .Net MicroservicesNode.js, .Net Cloud TechnologiesMicrosoft Azure Technology Stack CI / CD StackAzure DevOps Pipelines, Jenkins, GIT DatabasesCosmos DB, MySQL, Mongo DB, PostgreSQL, Azure SQL Database Defining and Implementing Open API Specifications (Swaggers) Understanding of the below areas: API / Integration ToolsDell Boomi, Broadcom / CA API Gateway / Azure API Gateway Identity management Tools Information Security tools and technologies ContainersDocker, Kubernetes Container ManagementAzure Kubernetes Services Content Management Tools (DX, Wordpress) Content Delivery Network (CDN) Tools (Akamai) Testing / Performance Testing, Monitoring and Documentation Tools Azure Monitors, AppDynamics, Blaze Meter, Selenium, Junit, Mocha Preferred Qualifications: BS degree in Computer Science or Engineering or equivalent experience Sign in to apply Share this job

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft BOT Framework Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : aMust have:BE/Btech/MCAbGood to have:ME/Mtech Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills :Microsoft BOT Framework, SSI:NON SSI:Good to Have Skills :SSI:No Technology Specialization NON SSI :Job Requirements :Key Responsibilities :aWork closely with the client teams to define and architect the solution for our clients Estimating the components required to provide a comprehensive AI solution that meets and exceeds the clients expectations delivering tangible business value to our clientsbCandidate is expected to deliver cognitive applications that solve/augment business issues using leading AI technology frameworkscDirect and influence client Bot/Virtual Agent architecture, solutioning and development Technical Experience :a7-8 years of experience and a thorough understanding of Azure PaaS landscapea2-3 years of experience in Microsoft AI/Bot FrameworkbGood to have - Knowledge experience in Azure Machine Learning, AI, Azure HDInsight Professional Attributes :AShould have strong problem-solving and Analytical skills BGood Communication skills CAbility to work independently with little supervision or as a team DShould be able to work and deliver under tight timelines ECandidate should have good analytical skills Educational Qualification:aMust have:BE/Btech/MCAbGood to have:ME/MtechAdditional Info : Qualifications aMust have:BE/Btech/MCAbGood to have:ME/Mtech

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft BOT Framework Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : BE/B-Tech/M-Tech Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills :Microsoft BOT FrameworkGood to Have Skills :No Technology SpecializationJob Requirements :Key Responsibilities :aWork closely with the client teams to define and architect the solution for our clients Estimating the components required to provide a comprehensive AI solution that meets and exceeds the clients expectations delivering tangible business value to our clientsbCandidate is expected to deliver cognitive applications that solve/augment business issues using leading AI technology frameworkscDirect and influence client Bot/Virtual Agent architecture, solutioning and development Technical Experience :a7-8 years of experience and a thorough understanding of Azure PaaS landscapea2-3 years of experience in Microsoft AI/Bot FrameworkbGood to have - Knowledge experience in Azure Machine Learning, AI, Azure HDInsight Professional Attributes :AShould have strong problem-solving and Analytical skills BGood Communication skills CAbility to work independently with little supervision or as a team DShould be able to work and deliver under tight timelines ECandidate should have good analytical skills Educational Qualification:BE/B-Tech/M-TechAdditional Info : Qualifications BE/B-Tech/M-Tech

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 6 - 7+ years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in Data Bricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Knowledge or experience of Snowflake will be an added advantage

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Total 5-8 years of experience in Data Management (DW, DL, Data Platform, Lakehouse) and Data Engineering skills Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Knowledge or experience of Snowflake will be an added advantage

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

As Data Engineer, you will develop, maintain, evaluate and test big data solutions. You will be involved in the development of data solutions using Spark Framework with Python or Scala on Hadoop and Azure Cloud Data Platform Responsibilities: Experienced in building data pipelines to Ingest, process, and transform data from files, streams and databases. Process the data with Spark, Python, PySpark and Hive, Hbase or other NoSQL databases on Azure Cloud Data Platform or HDFS Experienced in develop efficient software code for multiple use cases leveraging Spark Framework / using Python or Scala and Big Data technologies for various use cases built on the platform Experience in developing streaming pipelines Experience to work with Hadoop / Azure eco system components to implement scalable solutions to meet the ever-increasing data volumes, using big data/cloud technologies Apache Spark, Kafka, any Cloud computing etc Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Minimum 4+ years of experience in Big Data technologies with extensive data engineering experience in Spark / Python or Scala; Minimum 3 years of experience on Cloud Data Platforms on Azure; Experience in DataBricks / Azure HDInsight / Azure Data Factory, Synapse, SQL Server DB Good to excellent SQL skills Exposure to streaming solutions and message brokers like Kafka technologies Preferred technical and professional experience Certification in Azure and Data Bricks or Cloudera Spark Certified developers

Project Role : Application Lead Project Role Description : Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have skills : Microsoft BOT Framework Good to have skills : NA Minimum 7.5 year(s) of experience is required Educational Qualification : aMust have:BE/Btech/MCAbGood to have:ME/Mtech Project Role :Application Lead Project Role Description :Lead the effort to design, build and configure applications, acting as the primary point of contact. Must have Skills :Microsoft BOT Framework, SSI:NON SSI:Good to Have Skills :SSI:No Technology Specialization NON SSI :Job Requirements :Key Responsibilities :aWork closely with the client teams to define and architect the solution for our clients Estimating the components required to provide a comprehensive AI solution that meets and exceeds the clients expectations delivering tangible business value to our clientsbCandidate is expected to deliver cognitive applications that solve/augment business issues using leading AI technology frameworkscDirect and influence client Bot/Virtual Agent architecture, solutioning and development Technical Experience :a7-8 years of experience and a thorough understanding of Azure PaaS landscapea2-3 years of experience in Microsoft AI/Bot FrameworkbGood to have - Knowledge experience in Azure Machine Learning, AI, Azure HDInsight Professional Attributes :AShould have strong problem-solving and Analytical skills BGood Communication skills CAbility to work independently with little supervision or as a team DShould be able to work and deliver under tight timelines ECandidate should have good analytical skills Educational Qualification:aMust have:BE/Btech/MCAbGood to have:ME/MtechAdditional Info : Qualifications aMust have:BE/Btech/MCAbGood to have:ME/Mtech