334 Sql Azure Jobs - Page 11

Extensive Experience MS SQL Server Administration : Minimum 5+ years of experience with in-depth knowledge of SQL database monitoring, performance tuning, and troubleshooting. High Availability & Disaster Recovery (HA/DR) : Advanced knowledge and implementation of HA/DR strategies. T-SQL : Hands-on experience in T-SQL is mandatory (a DBA without T-SQL expertise is not considered a DBA engineer). Transaction Replication : Proficient in managing and troubleshooting transaction replication. Availability Groups & Clustering : Expertise in configuring and maintaining high availability and clustering solutions. Communication Skills : Strong verbal and written communication is essential. Automation & Scripting : Development of scripts and automation tools (e.g., PowerShell) to reduce manual tasks and enhance efficiency. Cloud Migration : Contribution to planning and executing Azure cloud migration strategies. Replication Management : Implementation, maintenance, and troubleshooting of database replication using SQL Server tools and third-party solutions (e.g., Fivetran, Qlik). Requirements Experience : 7+ years of production DBA experience. 5+ years of SQL development experience. Hands-on expertise in PowerShell scripting. Cloud Expertise : Proven experience with cloud migrations, particularly Microsoft Azure and/or AWS. Multi-datacenter environment experience, including Azure/AWS integration. Technical Skills : Strong analytical and problem-solving skills with a focus on automation and innovation. High proficiency in HA and DR solutions for MSSQL and Azure SQL. Expertise in database replication across multi-server/datacenter setups. SSRS development and SSDT with TFS/GIT source control. Required Skills Sql Dba,T SQL, Powershell

About the Role - We are seeking a highly skilled and experienced Senior Azure Databricks Engineer to join our dynamic data engineering team. - As a Senior Azure Databricks Engineer, you will play a critical role in designing, developing, and implementing data solutions on the Azure Databricks platform. - You will be responsible for building and maintaining high-performance data pipelines, transforming raw data into valuable insights, and ensuring data quality and reliability. Key Responsibilities - Design, develop, and implement data pipelines and ETL/ELT processes using Azure Databricks. - Develop and optimize Spark applications using Scala or Python for data ingestion, transformation, and analysis. - Leverage Delta Lake for data versioning, ACID transactions, and data sharing. - Utilize Delta Live Tables for building robust and reliable data pipelines. - Design and implement data models for data warehousing and data lakes. - Optimize data structures and schemas for performance and query efficiency. - Ensure data quality and integrity throughout the data lifecycle. - Integrate Azure Databricks with other Azure services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Blob Storage). - Leverage cloud-based data services to enhance data processing and analysis capabilities. Performance Optimization & Troubleshooting - Monitor and analyze data pipeline performance. - Identify and troubleshoot performance bottlenecks. - Optimize data processing jobs for speed and efficiency. - Collaborate effectively with data engineers, data scientists, data analysts, and other stakeholders. - Communicate technical information clearly and concisely. - Participate in code reviews and contribute to the improvement of development processes. Qualifications Essential - 5+ years of experience in data engineering, with at least 2 years of hands-on experience with Azure Databricks. - Strong proficiency in Python and SQL. - Expertise in Apache Spark and its core concepts (RDDs, DataFrames, Datasets). - In-depth knowledge of Delta Lake and its features (e.g., ACID transactions, time travel). - Experience with data warehousing concepts and ETL/ELT processes. - Strong analytical and problem-solving skills. - Excellent communication and interpersonal skills. - Bachelor's degree in Computer Science, Computer Engineering, or a related field.

Role Description : As an Azure/DevOps Engineer, you will be a key contributor to our cloud infrastructure and automation efforts. You will leverage your expertise in Azure services, infrastructure as code (IaC), CI/CD pipelines, and automation tools to build and maintain a scalable and reliable environment. Your ability to troubleshoot complex issues, automate processes, and collaborate effectively will be crucial to your success. Responsibilities : - Design, deploy, and manage Azure cloud infrastructure using IaC tools (e.g., Terraform, Azure Resource Manager templates). - Implement and maintain Azure services, including Virtual Machines, Azure Kubernetes Service (AKS), Azure Functions, Azure SQL Database, and Azure Networking. - Monitor and optimize Azure resource utilization and performance. - Implement security best practices and ensure compliance with security policies. - Design, build, and maintain CI/CD pipelines using Azure DevOps or other relevant tools. - Automate software build, test, and deployment processes. - Implement and manage containerization and orchestration technologies (e.g., Docker, Kubernetes). - Integrate automated testing and security scanning into CI/CD pipelines. - Develop and maintain automation scripts using PowerShell, Python, or other scripting languages. - Automate infrastructure provisioning, configuration management, and application deployments. - Implement and manage configuration management tools (e.g., Ansible, Chef, Puppet). - Implement and manage monitoring and logging solutions using Azure Monitor, Application Insights, or other relevant tools. - Proactively identify and resolve performance and availability issues. - Set up alerts and notifications for critical system events. - Collaborate with development, QA, and operations teams to ensure smooth software delivery. - Communicate technical concepts clearly and concisely to both technical and non-technical stakeholders. - Participate in incident management and problem resolution. - Document infrastructure and deployment processes. - Implement security best practices in Azure and DevOps pipelines. - Ensure compliance with relevant industry standards and regulations. - Perform security audits and vulnerability assessments. Qualifications : Experience : - Proven experience in designing and managing Azure cloud infrastructure. - Experience in building and maintaining CI/CD pipelines. Technical Skills : - Strong understanding of Azure services and architecture. - Proficiency in IaC tools (e.g., Terraform, ARM templates). - Experience with CI/CD tools (e.g., Azure DevOps, Jenkins, GitLab CI). - Knowledge of containerization and orchestration technologies (e.g., Docker, Kubernetes). - Proficiency in scripting languages (e.g., PowerShell, Python). - Experience with configuration management tools (e.g., Ansible, Chef, Puppet). - Knowledge of monitoring and logging tools (e.g., Azure Monitor, Application Insights). - Understanding of networking concepts and security best practices. 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.

Primary Skills .NET Core and .NET Framework developmentIn-depth experience in building scalable and maintainable applications using C#. This includes web applications, APIs, background services, and integration with third-party systems. Azure App Services, Azure Functions, and Azure DevOpsHands-on expertise in deploying applications to Azure App Services, creating serverless workflows with Azure Functions, and managing end-to-end CI/CD pipelines using Azure DevOps. Docker containerization and image managementSkilled in writing Dockerfiles, building and managing container images, and using Docker Compose for multi-container applications. Ensures consistent environments across development, testing, and production. Kubernetes orchestration and deploymentProficient in deploying and managing containerized applications using Kubernetes. Experience includes writing YAML manifests for deployments, services, config maps, and secrets, as well as managing scaling, rolling updates, and health checks. CI/CD pipeline creation and managementCapable of designing and implementing automated pipelines for building, testing, and deploying applications. Familiar with tools like Azure DevOps, GitHub Actions, and Jenkins to ensure smooth and reliable delivery processes. RESTful API development and integrationStrong understanding of REST principles and experience in designing, building, and consuming APIs. Uses tools like Swagger/OpenAPI for documentation and Postman for testing and validation. Microservices architecture designExperience in designing and implementing microservices-based systems using .NET and Docker. Focuses on modularity, scalability, and resilience, with inter-service communication via HTTP or messaging systems. Infrastructure as Code (IaC)Skilled in automating infrastructure provisioning using tools like Bicep, ARM templates, or Terraform. Ensures consistent and repeatable deployments of Azure resources across environments. Secondary Skills Azure Monitor, Application Insights, and Log AnalyticsFamiliar with monitoring and diagnostics tools in Azure to track application performance, detect anomalies, and troubleshoot issues using telemetry and logs. Helm charts for Kubernetes deploymentsBasic to intermediate knowledge of using Helm to package, configure, and deploy Kubernetes applications, enabling reusable and version-controlled deployments. Git and version control best practicesProficient in using Git for source control, including branching strategies, pull requests, and code reviews to maintain code quality and collaboration. SQL and NoSQL database integrationExperience in integrating applications with databases like Azure SQL, PostgreSQL, and Cosmos DB. Capable of writing optimized queries and managing database connections securely. Security best practices in cloud and container environmentsUnderstanding of authentication, authorization, and secure communication practices. Familiar with managing secrets, certificates, and identity access in Azure and Kubernetes. Agile/Scrum methodologiesComfortable working in Agile teams, participating in sprint planning, daily stand-ups, retrospectives, and using tools like Azure Boards or Jira for task tracking. Unit testing and integration testing frameworksKnowledge of writing and maintaining tests using frameworks like xUnit, NUnit, or MSTest. Ensures code reliability and supports test-driven development practices. Basic networking and DNS concepts in cloud environmentsUnderstanding of virtual networks, subnets, firewalls, load balancers, and DNS configurations in Azure and Kubernetes to support application connectivity and security.

Primary Skills Design, develop, and maintain scalable web applications using .NET Core / .NET Framework. Build and deploy cloud-native applications on Microsoft Azure using services like App Services, Azure Functions, and Azure SQL. Develop RESTful APIs and integrate with third-party services and internal systems. Implement secure authentication and authorization using Azure Active Directory and OAuth. Utilize Azure DevOps for CI/CD pipelines, version control, and automated deployments. Optimize application performance and scalability using caching, asynchronous programming, and Azure monitoring tools. Write clean, maintainable, and testable code following SOLID principles and design patterns. Collaborate with cross-functional teams including architects, QA, and business analysts to deliver high-quality solutions. Conduct code reviews and provide mentorship to junior developers. Ensure compliance with security standards, data protection regulations, and best practices Secondary Skills Assist in migrating legacy applications to Azure cloud infrastructure. Monitor and troubleshoot production issues, ensuring high availability and reliability. Participate in sprint planning, daily stand-ups, and retrospectives in an Agile environment. Create and maintain technical documentation for architecture, design, and deployment processes. Stay updated with the latest trends and advancements in .NET and Azure technologies. Support the evaluation and adoption of new tools, frameworks, and methodologies. Collaborate with DevOps and infrastructure teams to improve deployment and monitoring strategies. Contribute to internal knowledge-sharing sessions and technical workshops. Assist in cost optimization efforts by analyzing Azure resource usage and recommending improvements. Provide technical support and guidance during client demos, UAT, and post-deployment phases.

Primary Skills Design, develop, and deploy cloud-based applications using .NET Core / .NET Framework on Microsoft Azure. Build and maintain scalable APIs and microservices hosted on Azure App Services, Azure Functions, or Azure Kubernetes Service (AKS). Integrate Azure services such as Azure SQL, Blob Storage, Key Vault, and Service Bus into application architecture. Implement CI/CD pipelines using Azure DevOps for automated builds, testing, and deployments. Ensure application security using Azure Active Directory, OAuth, and role-based access control (RBAC). Optimize application performance and scalability using Azure Monitor, Application Insights, and caching strategies. Collaborate with architects and DevOps teams to design cloud-native solutions and infrastructure. Write clean, maintainable, and testable code following SOLID principles and industry best practices. Participate in code reviews and provide technical guidance to peers and junior developers. Troubleshoot and resolve issues in development, staging, and production environments. Secondary Skills Assist in migrating on-premise applications to Azure cloud infrastructure. Support infrastructure automation using ARM templates, Bicep, or Terraform. Stay current with Azure updates, .NET advancements, and emerging cloud technologies. Participate in Agile ceremonies such as sprint planning, daily stand-ups, and retrospectives. Collaborate with QA teams to ensure comprehensive testing and quality assurance. Contribute to internal knowledge sharing, documentation, and technical workshops. Help optimize cloud costs by analyzing resource usage and recommending improvements. Provide support during UAT, production releases, and post-deployment monitoring. Work with cross-functional teams to align cloud solutions with business goals. Assist in developing internal tools and reusable components to accelerate development.

Primary Skills NET Core and .NET Framework developmentStrong experience in building enterprise-grade applications using C#, including web APIs, MVC applications, background services, and integration with third-party systems. Azure App Services and Azure FunctionsProficient in deploying and managing applications on Azure App Services and building serverless solutions using Azure Functions for event-driven architectures. Azure DevOpsSkilled in setting up and managing CI/CD pipelines, version control with Git, and automating build and release processes for .NET applications. RESTful API developmentExpertise in designing and implementing RESTful APIs using ASP.NET Core, with proper versioning, authentication, and documentation using Swagger/OpenAPI. Microservices architectureExperience in designing and developing microservices using .NET, with inter-service communication via HTTP or messaging systems like Azure Service Bus. Azure SQL and Cosmos DBProficient in integrating .NET applications with Azure SQL Database and Cosmos DB, including schema design, query optimization, and secure access. Identity and access managementFamiliar with implementing authentication and authorization using Azure Active Directory, OAuth2, and OpenID Connect in .NET applications. Infrastructure as Code (IaC)Experience with automating Azure resource provisioning using Bicep, ARM templates, or Terraform for consistent and repeatable deployments. Secondary Skills Azure Monitor and Application InsightsBasic experience in configuring monitoring and diagnostics to track application health and performance. Azure Storage (Blob, Queue, Table)Familiar with integrating .NET applications with Azure Storage services for handling unstructured data and messaging. Git and version controlProficient in using Git for source control, including branching strategies and pull request workflows. Unit testing and integration testingKnowledge of testing frameworks like xUnit or MSTest to ensure code quality and reliability. Agile methodologiesComfortable working in Agile teams, participating in sprints, and using tools like Azure Boards for task tracking. Security best practicesUnderstanding of secure coding practices, data encryption, and managing secrets using Azure Key Vault.

Role & responsibilities Senior Data Engineer Job Description GRUBBRR is seeking a mid/senior-level data engineer to help build our next-generation analytical and big data solutions. We strive to build Cloud-native, consumer-first, UX-friendly kiosks and online applications across a variety of verticals supporting enterprise clients and small businesses. Behind our consumer applications, we integrate and interact with a deep-stack of payment, loyalty, and POS systems. In addition, we also provide actionable insights to enable our customers to make informed decisions. Our challenge and goal is to provide a frictionless experience for our end-consumers and easy-to-use, smart management capabilities for our customers to maximize their ROIs. Responsibilities: Develop and maintain data pipelines Ensure data quality and accuracy Design, develop and maintain large, complex sets of data that meet non-functional and functional business requirements Build required infrastructure for optimal extraction, transformation and loading of data from various data sources using cloud technologies Build analytical tools to utilize the data pipelines Skills: Solid experience with SQL & NoSQL Strong Data modeling skills for data lake, data warehouse, data marts including dimensional modeling and star schemas Proficient with Azure Data Factory data integration technology Knowledge of Hadoop or similar Big Data technology Knowledge of Apache Kafka, Spark, Hive or equivalent Knowledge of Azure or AWS analytics technologies Qualifications: BS in Computer Science, Applied Mathematics or related fields (MS preferred) At least 8 years of experience working with OLAPs Microsoft Azure or AWS Data engineer certification a plus

Required Skills • 5+ years of hands-on experience in relevant field • Knowledge of platforms like Big Query • Experience with AWS, Azure, or Google Cloud for scalable data solutions • Should be skilled in Azure SQL Managed Services • Skilled in utilizing Incortas direct data mapping for optimized data ingestion • Expertise in Extract, Transform, Load (ETL) processes and workflow automation • AI-enhanced automation, AMS, Oracle AMS ,Salesforce exposure are added skills Role & responsibilities • Build and optimize data pipelines for ingestion, transformation, and storage using BigQuery, Azure SQL Managed Services, and Incorta. • Implement Al-driven automation for data pipeline monitoring, performance tuning, and anomaly detection. • Ensure data governance, security, and compliance standards are met across all platforms. • Optimize data workflows for cost efficiency and scalability. • Collaborate with BI, Al, and application teams for seamless data access and analytics. • Integrate data from multiple sources including Salesforce, Oracle AMS, and other enterprise applications.

Job summary The GeoSpatial Analyst MAP role involves utilizing geospatial technologies to support service desk operations in a hybrid work model. The candidate will leverage their expertise in app support to enhance service delivery and ensure efficient resolution of technical issues. This position requires a proactive approach to problem-solving and collaboration with cross-functional teams to optimize service desk performance. Responsibilities Analyze geospatial data to support service desk operations and improve app support efficiency. Collaborate with cross-functional teams to identify and resolve technical issues related to geospatial applications. Develop and implement strategies to optimize service desk workflows in a hybrid work model. Provide technical expertise in geospatial technologies to enhance service delivery and customer satisfaction. Monitor and evaluate service desk performance metrics to identify areas for improvement. Conduct regular assessments of geospatial applications to ensure optimal functionality and user experience. Utilize geospatial data to generate insights and recommendations for service desk enhancements. Support the integration of geospatial technologies into existing service desk processes. Facilitate training sessions for service desk staff on geospatial application usage and best practices. Maintain up-to-date knowledge of industry trends and advancements in geospatial technologies. Collaborate with IT teams to ensure seamless integration of geospatial applications with other systems. Develop documentation and guidelines for geospatial application support and troubleshooting. Ensure compliance with company policies and standards in all geospatial-related activities. Qualifications Possess strong analytical skills to interpret geospatial data effectively. Demonstrate proficiency in service desk app support and hybrid work models. Have experience in monitoring and improving service desk performance metrics. Show ability to collaborate with cross-functional teams for problem-solving. Exhibit knowledge of geospatial technologies and their application in service desk operations. Display excellent communication skills for training and documentation purposes. Certifications Required Certified Geographic Information Systems (GIS) Professional

We are looking for a skilled Data Modeler with 5-7 years of experience to join the Software engineering team Responsibilities Prepare and own the data model and share it with the development team Review the API code to verify the tables, relationships and constraints match with the data model Actively participate in agile ceremonies daily standup, sprint planning, review, demo, refinement Refine the user stories with Product Owner and technical lead Estimate user stories during refinement and sprint planning Split the user stories into tasks as needed Implement the user stories by writing clean, efficient code that meets defined acceptance criteria Write and execute unit test cases that are shared with the testers Produce software documentation for reference Troubleshoot and fix defects found in QA, UAT, Preproduction Support/fix defects found in production as needed Synchronize daily activities during the daily stand-up meetings Solicit Product Owner for additional information as needed Requirements: Working experience in Azure SQL Server, ERD diagrams, Data Modelling, API knowledge, T-SQL, Performance Tuning, Postman Knowledge of Agile development methodology Working experience using Azure DevOps Excellent logical and analytical skills Excellent written and oral communication skills in English Minimum education level: Bachelor of Computer science degree Nice to have: Worked in multi-cultural / multi-national companies Strong team spirit Eager to learn modern technologies and innovate Positive mindset

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth. Designation: Lead Data Engineer Location: Hyderabad, Indore, Ahmedabad Experience: 8 years Role & responsibilities What You Will Do: • Analyze Business Requirements. • Analyze the Data Model and do GAP analysis with Business Requirements and Power BI. Design and Model Power BI schema. • Transformation of Data in Power BI/SQL/ETL Tool. • Create DAX Formula, Reports, and Dashboards. Able to write DAX formulas. • Experience writing SQL Queries and stored procedures. • Design effective Power BI solutions based on business requirements. • Manage a team of Power BI developers and guide their work. • Integrate data from various sources into Power BI for analysis. • Optimize performance of reports and dashboards for smooth usage. • Collaborate with stakeholders to align Power BI projects with goals. • Knowledge of Data Warehousing(must), Data Engineering is a plus What we need? • B. Tech computer science or equivalent • Minimum 5+ years of relevant experience Perks and benefits

Job Description: Net Architects: .Net Core + Microservices + Azure Functions (Serverless/ Cloud Native) and exp in multiple Azure services Must have: .NET Architects, Azure, Microservices, MVC, Design Nice to have: Azure certification Requirements: Minimum 10+ years of experience as an Application Architect in Microsoft cloud technologies Expert knowledge of enterprise applications, programming languages, application servers, software architecture, cloud, and databases; Demonstrated experience designing and developing highly scalable/ enterprise applications Technical experience and knowledge in full stack development with MS technologies (.NET, SQL, Azure) C#, ASP.NET, WCF, MVC, Entity Framework, ORM, RDBMS, NO SQL and modern web development frameworks tool kits Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT management and developers) Excellent written and verbal interpersonal skills for coordinating across teams. Required Candidate login to applying this job. Click here to And try again Login to your account Email Address: Password: Net Architect Drop your resume or click to upload File types supported: .doc, .docx and .pdf | Max file size: 3 MB or First Name: * Last Name: * Email: * Phone: * Current Job Title: Online resume/portfolio link Address Country State Postal code How soon can you join* How did you hear about us* By clicking checkbox, you agree to our and

bachelors degree in computer science or a related fieldOR masters degree in statistics, economics, business economics, econometrics, or operations research. 3-8 years of experience in the Analytics/Data Science domain. Experience with Generative AI techniques and tools. Familiarity with ETL methods, data imputation, data cleaning, and outlier handling. Familiarity with Azure cloud platform and AI/ML services. Knowledge of databases and associated tools such as SQL. Technical Skills - Desirable: Expertise in NLP and Generative AI methods like Prompt design, Retrieval Augmented Generation (RAG) Multi-agent frameworks, and Evaluation frameworks. Proficiency in programming languages such as Python. Technical Skills - Good to Have: API development Deployment of GenAI applications Specific Responsibilities Requirement Gathering: Translate business requirements into actionable analytical plans. Ensure alignment with the customer s strategic objectives. Data Handling: Identify appropriate data sources to address business problems. Resolve data discrepancies, including ETL tasks, missing values, and outliers. Development and Execution: Deliver projects and POC initiatives from inception to completion. Develop and refine technical and analytics architecture. Implement scalable analytical frameworks and data pipelines. Coordinate with cross-functional teams. Deliver production-ready models and solutions. Monitor success metrics and ensure high-quality output. Create and maintain documentation/reports. SKILLS Primary Skill: Data Science Sub Skill(s): Data Science Additional Skill(s): Python, ETL, AI/ML Development, Data Science, SQL, Azure Analysis Service, Analytics Development, NLP

Job Category: IT Job Type: Full Time Job Location: Bangalore Chennai Mumbai Pune Exp:- 4 to 5 Years Location:- Pune/Mumbai/Bangalore/Chennai JD : Azure Data Engineer with QA: Must Have - Azure Data Bricks, Azure Data Factory, Spark SQL Years - 4-5 years of development experience in Azure Data Bricks Strong experience in SQL along with performing Azure Data bricks Quality Assurance. Understand complex data system by working closely with engineering and product teams Develop scalable and maintainable applications to extract, transform, and load data in various formats to SQL Server, Hadoop Data Lake or other data storage locations. Kind Note: Please apply or share your resume only if it matches the above criteria.

Mandatory Skills: Azure Integration. Experience8-10 Years.

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve client queries as per the SLA’s defined in the contract Develop understanding of process/ product for the team members to facilitate better client interaction and troubleshooting Document and analyze call logs to spot most occurring trends to prevent future problems Identify red flags and escalate serious client issues to Team leader in cases of untimely resolution Ensure all product information and disclosures are given to clients before and after the call/email requests Avoids legal challenges by monitoring compliance with service agreements Handle technical escalations through effective diagnosis and troubleshooting of client queries Manage and resolve technical roadblocks/ escalations as per SLA and quality requirements If unable to resolve the issues, timely escalate the issues to TA & SES Provide product support and resolution to clients by performing a question diagnosis while guiding users through step-by-step solutions Troubleshoot all client queries in a user-friendly, courteous and professional manner Offer alternative solutions to clients (where appropriate) with the objective of retaining customers’ and clients’ business Organize ideas and effectively communicate oral messages appropriate to listeners and situations Follow up and make scheduled call backs to customers to record feedback and ensure compliance to contract SLA’s Build people capability to ensure operational excellence and maintain superior customer service levels of the existing account/client Mentor and guide Production Specialists on improving technical knowledge Collate trainings to be conducted as triage to bridge the skill gaps identified through interviews with the Production Specialist Develop and conduct trainings (Triages) within products for production specialist as per target Inform client about the triages being conducted Undertake product trainings to stay current with product features, changes and updates Enroll in product specific and any other trainings per client requirements/recommendations Identify and document most common problems and recommend appropriate resolutions to the team Update job knowledge by participating in self learning opportunities and maintaining personal networks Deliver NoPerformance ParameterMeasure1ProcessNo. of cases resolved per day, compliance to process and quality standards, meeting process level SLAs, Pulse score, Customer feedback, NSAT/ ESAT2Team ManagementProductivity, efficiency, absenteeism3Capability developmentTriages completed, Technical Test performance Mandatory Skills: Azure Integration. Experience5-8 Years.

Sr Azure Data Engineer About Cloudaeon: Cloudaeon is a global technology consulting and services company. We support companies in managing cloud infrastructure and solutions with the help of big data, DevOps and analytics. We offer first-class solutions and services that use big data and always exceed customer expectations. Our deep vertical knowledge, combined with expertise in several enterprise- class big data platforms, helps develop targeted solutions to meet our customers' business needs. Our global team consists of experienced professionals with experience in various tech stacks. Every member of our team is very active and committed to helping our customers achieve their goals. Job Role: We are looking for a Senior Azure Data Engineer with overall 5+ years of experience to join our team. The ideal candidate should have expertise in Azure Data Factory (ADF), Databricks, SQL, Python, and experience working with SAP IS-Auto as a data source. This role involves data modeling, systematic layer modeling, and ETL/ELT pipeline development to enable efficient data processing and analytics. You will use various methods to transform raw data into useful data systems. Overall, you will strive for efficiency by aligning data systems with business goals. Responsibilities: Develop & Optimize ETL Pipelines: Build robust and scalable data pipelines using ADF, Databricks, and Python for data ingestion, transformation, and loading. Data Modeling & Systematic Layer Modeling: Design logical, physical, and systematic data models for structured and unstructured data. Integrate SAP IS-Auto: Extract, transform, and load data from SAP IS-Auto into Azure-based data platforms. Database Management: Develop and optimize SQL queries, stored procedures, and indexing strategies to enhance performance. Big Data Processing: Work with Azure Databricks for distributed computing, Spark for large-scale processing, and Delta Lake for optimized storage. Data Quality & Governance: Implement data validation, lineage tracking, and security measures for high-quality, compliant data. Collaboration: Work closely with business analysts, data scientists, and DevOps teams to ensure data availability and usability. Requirements: Azure Cloud Expertise: Strong experience in Azure Data Factory (ADF), Databricks, and Azure Synapse. Programming: Proficiency in Python for data processing, automation, and scripting. SQL & Database Skills: Advanced knowledge of SQL, T-SQL, or PL/SQL for data manipulation. SAP IS-Auto Data Handling: Experience integrating SAP IS-Auto as a data source into data pipelines. Data Modeling: Hands-on experience in dimensional modeling, systematic layer modeling, and entity-relationship modeling. Big Data Frameworks: Strong understanding of Apache Spark, Delta Lake, and distributed computing. Performance Optimization: Expertise in query optimization, indexing, and performance tuning. Data Governance & Security: Knowledge of RBAC, encryption, and data privacy standards. Strong problem-solving skills coupled with good communication skills. Open minded, inquisitive, life-long learner. Good conversion of high-level business & technical requirements into technical specs. Feeling comfortable in using Azure cloud technologies. Customer centric, passionate about delivering great digital products and services. Preferred Qualifications: Experience with CI/CD for data pipelines using Azure DevOps. Knowledge of Kafka/Event Hub for real-time data processing. Experience with Power BI/Tableau for data visualization (not mandatory but a plus).

Job Title:Azure Integrations Developer Experience8-10 Years Location:Hyderabad : Experience withAzureIntegrationServices,AzureFunctions, Logic Apps, Events, Grids, Queues, .Net, Applications Insights,AzureAPI Management, Some EDI experience will help, AKS experience. Building end to end Flows inAzure.Azureto On-PremIntegrationexperience, large file processing usingAzure. It’s 6 months contract position Must Have: AzureIntegrationServices AzureFunctions Logic Apps Events, Grids, Queues .Net, Applications Insights AzureAPI Management Good to Have: Some EDI experience will help AKS experience Building end to end Flows inAzure Azureto On-PremIntegrationexperience Large file processing usingAzure.

Job Title:Fullstack Developer Experience8-12 Years Location:Chennai/Bangalore/Hyderabad - Hybrid : Minimum8yearsofexperienceasaFullStackDeveloperorsimilarrole ExpertexperienceinC#andJavaScript,includingframeworkslike Angularand React. ProficiencyinDomain-DrivenDesign,CQRSpattern,EntityFramework. FamiliaritywithOpenTelemetricandDistributedCaching. Experiencewith.NETFrameworkandmodernversions. Familiaritywithrelationaldatabases,particularlyMicrosoftSQLServer. ExtensiveexperiencewithAzurecloudtechnologies,includingAzureApp Services,AzureSQLDatabase,AzureFunctions,andAzureLogicApps

Job Title Senior Software Engineer Experience 12-20 Years Location Bangalore : Strong knowledge & hands-on experience in AWS Data Bricks Nice to have Worked in hp eco system (FDL architecture) Technically strong to help the team on any technical issues they face during the execution. Owns the end-to-end technical deliverables Hands on data bricks + SQL knowledge Experience in AWS S3, Redshift, EC2 and Lambda services Extensive experience in developing and deploying Bigdata pipelines Experience in Azure data lake Strong hands on in SQL development / Azure SQL and in-depth understanding of optimization and tuning techniques in SQL with Redshift Development in Notebooks (like Jupyter, DataBricks, Zeppelin etc) Development experience in Spark Experience in scripting language like python and any other programming language Roles and Responsibilities Candidate must have hands on experience in AWS Data Databricks Good development experience using Python/Scala, Spark SQL and Data Frames Hands-on with Databricks, Data Lake and SQL knowledge is a must. Performance tuning, troubleshooting, and debugging SparkTM Process Skills: Agile – Scrum Qualification: Bachelor of Engineering (Computer background preferred)

JD for Fullstack Developer. Exp: 10+yrs Front End Development Design and implement intuitive and responsive user interfaces using React.js or similar front-end technologies. Collaborate with stakeholders to create a seamless user experience. Create mockups and UI prototypes for quick turnaround using Figma, Canva, or similar tools. Strong proficiency in HTML, CSS, JavaScript, and React.js. Experience with styling and graph libraries such as Highcharts, Material UI, and Tailwind CSS. Solid understanding of React fundamentals, including Routing, Virtual DOM, and Higher-Order Components (HOC). Knowledge of REST API integration. Understanding of Node.js is a big advantage. Middleware Development Experience with REST API development, preferably using FastAPI. Proficiency in programming languages like Python. Integrate APIs and services between front-end and back-end systems. Experience with Docker and containerized applications. Back End Development Experience with orchestration tools such as Apache Airflow or similar. Design, develop, and manage simple data pipelines using Databricks, PySpark, and Google BigQuery. Medium-level expertise in SQL. Basic understanding of authentication methods such as JWT and OAuth. Bonus Skills Experience working with cloud platforms such as AWS, GCP, or Azure. Familiarity with Google BigQuery and Google APIs. Hands-on experience with Kubernetes for container orchestration. Contact : Sandeep Nunna Ph No : 9493883212 Email : sandeep.nunna@clonutsolutions,com

Job Role: Minimum 3 years of previous industry work experience will be preferred •In-depth understanding of database structure principles. • Knowledge of data mining and segmentation techniques, expertise in SQL and Oracle. • Familiarity with data visualization and data oriented. • Ability to document complex business processes and handle all types of customer requests. • Good communication skill in English; Math & Statistical analysis, ability to interpret and collate relevant data. • Should have working experience on on-premises and cloud-based data infrastructure handling large and diverse datasets • Experience in one or more of the below technologies is preferred • AWS/GCP/Azure • Kubernetes/Docker Swarm • Apache Hadoop & Apache Spark • Elastic Stack/Elk • Airflow / Prefect • MongoDB, Cassandra, Redis, Memcached and DynamoDB • MySQL, Cassandra, and Oracle SQL • PowerBI/Tableau/Qlik view

At Siemens Healthcare, customer experience is at the forefront of everything we do. To help us build functional systems that improve customer experience we are now looking for an experienced DevOps Engineer. They will be responsible for deploying product updates, identifying production issues and implementing integrations that meet our customers' needs. If you have a solid background in software engineering and are familiar with C#/Powershell scripting/Python, we'd love to speak with you. Objectives of this Role: Derive/Contribute to technology landscape/Roadmap Mentor/Guide juniors in the team to meet the overall team goal Building and setting up new development tools and infrastructure Working on ways to automate and improve development and release processes Testing and examining code written by others and analyzing results Ensuring that systems are safe and secure against cybersecurity threats Identifying technical problems and developing software updates and "˜fixes Build tools to reduce occurrences of errors and improve customer experience Develop software to integrate with internal back-end systems Perform root cause analysis for production errors Investigate and resolve technical issues Develop scripts to automate visualization Design procedures for system troubleshooting and maintenance Skills and Qualifications: 3-6 Yrs of Total Experience in DevOps Experience as a DevOps Engineer or similar software engineering role Proficient with Azure Devops, git and git workflows Good knowledge of C#/Powershell/Python Problem-solving attitude Collaborative team spirit

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure Synapse Analytics - Query data in Azure Synapse Analytics 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.