779 Sql Azure Jobs - Page 11

Critical Skills to Possess: Minimum 8 years of solid experience with: Understanding of Azure environment/infrastructure Azure/devops configuration Azure Data Factory Azure Functions Azure Logic Apps Power Apps SQL .NET Power Automate (Microsoft Flow) Gateway Configurations Manual Code Deployment in Azure Familiarity with monitoring Azure environments and resolving issues Familiarity with monitoring Azure costs and making adjustments accordingly Preferred Qualifications: BS degree in Computer Science or Engineering or equivalent experience Roles and Responsibilities Roles and Responsibilities: Minimum 5 years of solid experience with: Understanding of Azure environment/infrastructure Azure/devops configuration Azure Data Factory Azure Functions Azure Logic Apps Power Apps SQL .NET Power Automate (Microsoft Flow) Gateway Configurations Manual Code Deployment in Azure Familiarity with monitoring Azure environments and resolving issues Familiarity with monitoring Azure costs and making adjustments accordingly

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Data Engineer -Azure, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services. RESPONSIBILITIES: Be an integral part of large-scale client business development and delivery engagements Develop the software and systems needed for end-to-end execution on large projects Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions Build the knowledge base required to deliver increasingly complex technology projects Team handling, problem solving, project management and communication skills & creative thinking QUALIFICATIONS: A bachelor s degree in Computer Science or related field with 6-12 years of technology experience Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space Software development experience using: Object-oriented languages (e.g. Python, PySpark,) and frameworks Database programming using any flavors of SQL Expertise in relational and dimensional modelling, including big data technologies Exposure across all the SDLC process, including testing and deployment Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Databricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required Good understanding of how to enable analytics using cloud technology and ML Ops Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure) Characteristics of a forward thinker and self-starter Ability to work with a global team of consulting professionals across multiple projects Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? Let us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Diverse Lynx is looking for Pyspark, Azure databricks to join our dynamic team and embark on a rewarding career journey Develop and maintain big data pipelines using Pyspark Integrate Azure Databricks for scalable data processing Perform data transformation and optimization tasks Collaborate with analysts and data scientists

If you are an extraordinary developer and who loves to push the boundaries to solve complex business problems using creative solutions, then we wish to talk with you. As a Data Engineer -Azure, you will work in the Technology team that helps deliver our Data Engineering offerings at large scale to our Fortune clients worldwide. The role is responsible for innovating, building and maintaining technology services. RESPONSIBILITIES: Be an integral part of large-scale client business development and delivery engagements Develop the software and systems needed for end-to-end execution on large projects Work across all phases of SDLC, and use Software Engineering principles to build scaled solutions Build the knowledge base required to deliver increasingly complex technology projects Team handling, problem solving, project management and communication skills & creative thinking QUALIFICATIONS: A bachelor s degree in Computer Science or related field with 6-12 years of technology experience Strong experience in System Integration, Application Development or Data-Warehouse projects, across technologies used in the enterprise space Software development experience using: Object-oriented languages (e.g. Python, PySpark,) and frameworks Database programming using any flavors of SQL Expertise in relational and dimensional modelling, including big data technologies Exposure across all the SDLC process, including testing and deployment Expertise in Microsoft Azure is mandatory including components like Azure Data Factory, Azure Data Lake Storage, Azure SQL, Azure Databricks, HD Insights, ML Service etc. Good knowledge of Python and Spark are required Good understanding of how to enable analytics using cloud technology and ML Ops Experience in Azure Infrastructure and Azure Dev Ops will be a strong plus Proven track record in keeping existing technical skills and developing new ones, so that you can make strong contributions to deep architecture discussions around systems and applications in the cloud (Azure) Characteristics of a forward thinker and self-starter Ability to work with a global team of consulting professionals across multiple projects Knack for helping an organization to understand application architectures and integration approaches, to architect advanced cloud-based solutions, and to help launch the build-out of those systems Passion for educating, training, designing, and building end-to-end systems for a diverse and challenging set of customers to success Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

As a Senior Data Engineer at JLL Technologies, you will: Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data Interact with internal colleagues and external professionals to determine requirements, anticipate future needs, and identify areas of opportunity to drive data development Develop good understanding of how data will flow & stored through an organization across multiple applications such as CRM, Broker & Sales tools, Finance, HR etc Unify, enrich, and analyze variety of data to derive insights and opportunities Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org Mentor other members in the team and organization and contribute to organizations growth. What we are looking for: 6+ years work experience and bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Hands-on engineer who is curious about technology, should be able to quickly adopt to change and one who understands the technologies supporting areas such as Cloud Computing (AWS, Azure(preferred), etc.), Micro Services, Streaming Technologies, Network, Security, etc. 3 or more years of active development experience as a data developer using Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities Build, test and enhance data curation pipelines integration data from wide variety of sources like DBMS, File systems, APIs and streaming systems for various KPIs and metrics development with high data quality and integrity Maintain the health and monitoring of assigned data engineering capabilities that span analytic functions by triaging maintenance issues; ensure high availability of the platform; monitor workload demands; work with Infrastructure Engineering teams to maintain the data platform; serve as an SME of one or more application Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams 3+ years of experience working with source code control systems and Continuous Integration/Continuous Deployment tools Independent and able to manage, prioritize & lead workload What you can expect from us: Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you...

Key Tasks & Responsibilities Development of highly performant public facing REST API's and associated system integrations in an Azure hosted environment. Documentation of API's conforming to the Open API 3.x framework. Participating in code reviews, design workshops, story/ticket elaboration, etc. Review existing legacy implementations and input from the architecture team, and aid in designing and building appropriate solutions on the new platform following best practices. Ensure that the new platform is developed, tested and hosted in the most secure, scalable manner. Aid in the automation of testing and deployments of all deliverables. Required Skills C#, Microsoft SQL Server or Azure SQL, Azure CosmosDB, Azure Service Bus, Azure Function Apps, Auth0, WebSockets Strong development experience in C# and .NET core technologies built up across a range of different projects Experience of developing API's which conform as much as possible to REST principles in terms of Resources, Sub Resources, Responses, Error Handling Experience of API design and documentation using Open API 3.x YAML Swagger Experience of development, deployment and support within an Azure Environment, with an understanding of security and authorisation concepts Performance tuning of APIs and Azure Functions Ability and willingness to learn quickly and adapt to a fast-changing environment, with a strong interest in continuous improvement and delivery. Strong problem-solving skills and a good understanding of the best practices and the importance of Test Automation processes. Some familiarity with AWS, and especially ElasticSearch would be beneficial but not mandatory. Education and Professional Membership Educated to Degree Level or equivalent, preferably in Computer Science or related subject Azure Certifications an advantage Mandatory Competencies Fundamental Technical Skills - C# .NET Desktop - .Net Core Cloud - Azure Cloud - AWS Beh - Communication and collaboration Database - SQL

What this job involves: JLL, an international real estate management company, is seeking an Data Engineer to join our JLL Technologies Team. We are seeking candidates that are self-starters to work in a diverse and fast-paced environment that can join our Enterprise Data team. We are looking for a candidate that is responsible for designing and developing of data solutions that are strategic for the business using the latest technologies Azure Databricks, Python, PySpark, SparkSQL, Azure functions, Delta Lake, Azure DevOps CI/CD. Responsibilities Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed business requirements. Design & develop data management and data persistence solutions for application use cases leveraging relational, non-relational databases and enhancing our data processing capabilities. Develop POCs to influence platform architects, product managers and software engineers to validate solution proposals and migrate. Develop data lake solution to store structured and unstructured data from internal and external sources and provide technical guidance to help migrate colleagues to modern technology platform. Contribute and adhere to CI/CD processes, development best practices and strengthen the discipline in Data Engineering Org. Develop systems that ingest, cleanse and normalize diverse datasets, develop data pipelines from various internal and external sources and build structure for previously unstructured data. Using PySpark and Spark SQL, extract, manipulate, and transform data from various sources, such as databases, data lakes, APIs, and files, to prepare it for analysis and modeling. Build and optimize ETL workflows using Azure Databricks and PySpark. This includes developing efficient data processing pipelines, data validation, error handling, and performance tuning. Perform the unit testing, system integration testing, regression testing and assist with user acceptance testing. Articulates business requirements in a technical solution that can be designed and engineered. Consults with the business to develop documentation and communication materials to ensure accurate usage and interpretation of JLL data. Implement data security best practices, including data encryption, access controls, and compliance with data protection regulations. Ensure data privacy, confidentiality, and integrity throughout the data engineering processes. Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. Experience & Education Minimum of 4 years of experience as a data developer using Python, PySpark, Spark Sql, ETL knowledge, SQL Server, ETL Concepts. Bachelors degree in Information Science, Computer Science, Mathematics, Statistics or a quantitative discipline in science, business, or social science. Experience in Azure Cloud Platform, Databricks, Azure storage. Effective written and verbal communication skills, including technical writing. Excellent technical, analytical and organizational skills. Technical Skills & Competencies Experience handling un-structured, semi-structured data, working in a data lake environment, leveraging data streaming and developing data pipelines driven by events/queues Hands on Experience and knowledge on real time/near real time processing and ready to code Hands on Experience in PySpark, Databricks, and Spark Sql. Knowledge on json, Parquet and Other file format and work effectively with them No Sql Databases Knowledge like Hbase, Mongo, Cosmos etc. Preferred Cloud Experience on Azure or AWS Python-spark, Spark Streaming, Azure SQL Server, Cosmos DB/Mongo DB, Azure Event Hubs, Azure Data Lake Storage, Azure Search etc. Team player, Reliable, self-motivated, and self-disciplined individual capable of executing on multiple projects simultaneously within a fast-paced environment working with cross functional teams. Youll join an entrepreneurial, inclusive culture. One where we succeed together across the desk and around the globe. Where like-minded people work naturally together to achieve great things. Our Total Rewards program reflects our commitment to helping you achieve your ambitions in career, recognition, well-being, benefits and pay. Join us to develop your strengths and enjoy a fulfilling career full of varied experiences. Keep those ambitions in sights and imagine where JLL can take you.

We Are Hiring! Sr. Azure Data Engineer at GSPANN Technologies - 5 + years of experience . Application Process: If you are ready to take the next step in your career and be a part of a leading IT services company, please send your updated CV to heena.ruchwani@gspann.com. 5 + years of experience . Location: Hyderabad, Gurgaon Key Skills & Experience: Azure Synapse Analytics Azure Data Factory (ADF) PySpark Databricks Expertise in developing and maintaining Stored Procedures Proven experience in designing and implementing scalable data solutions in Azure Preferred Qualifications: Minimum 6 years of hands-on experience working with Azure Data Services Strong analytical and problem-solving skills Excellent communication skills, both verbal and written Ability to collaborate effectively in a fast-paced, cross-functional environment Immediate Joiners Only: We are looking for professionals who can join immediately and contribute to dynamic projects. Application Process: If you are ready to take the next step in your career and be a part of a leading IT services company, please send your updated CV to heena.ruchwani@gspann.com. Join GSPANN Technologies and accelerate your career with exciting opportunities in data engineering!

Must be: Bachelors or Masters degree in Computer Science, Information Technology, or a related discipline. 35+ years of experience in SQL Development and Data Engineering . Strong hands-on skills in T-SQL , including complex joins, indexing strategies, and query optimization. Proven experience in Power BI development, including building dashboards, writing DAX expressions, and using Power Query . Should be: At least 1+ year of hands-on experience with one or more components of the Azure Data Platform : Azure Data Factory (ADF) Azure Databricks Azure SQL Database Azure Synapse Analytics Solid understanding of data warehouse architecture , including star and snowflake schemas , and data lake design principles. Familiarity with: Data Lake and Delta Lake concepts Lakehouse architecture Data governance , data lineage , and security controls within Azure

Role- Azure Devops EXP- 2+yrs Location- Pan INDIA

Experience Required: 8+Years Mode of work: Remote Skills Required: Azure DataBricks, Eventhub, Kafka, Architecture,Azure Data Factory, Pyspark, Python, SQL, Spark Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within 14th July 2025) Responsibilities Design, develop, and maintain scalable and robust data solutions in the cloud using Apache Spark and Databricks. Gather and analyse data requirements from business stakeholders and identify opportunities for data-driven insights. Build and optimize data pipelines for data ingestion, processing, and integration using Spark and Databricks. Ensure data quality, integrity, and security throughout all stages of the data lifecycle. Collaborate with cross-functional teams to design and implement data models, schemas, and storage solutions. Optimize data processing and analytics performance by tuning Spark jobs and leveraging Databricks features. Provide technical guidance and expertise to junior data engineers and developers . Stay up to date with emerging trends and technologies in cloud computing, big data, and data engineering. Contribute to the continuous improvement of data engineering processes, tools, and best practices. Requirements: Bachelors or masters degree in computer science, engineering, or a related field. 10+ years of experience as a Data Engineer with a focus on building cloud-based data solutions. Mandatory skills: Azure DataBricks, Eventhub, Kafka, Architecture, Azure Data Factory, Pyspark, Python, SQL, Spark Strong experience with cloud platforms such as Azure or AWS. Proficiency in Apache Spark and Databricks for large-scale data processing and analytics. Experience in designing and implementing data processing pipelines using Spark and Databricks. Strong knowledge of SQL and experience with relational and NoSQL databases. Experience with data integration and ETL processes using tools like Apache Airflow or cloud-native orchestration services. Good understanding of data modelling and schema design principles. Experience with data governance and compliance frameworks . Excellent problem-solving and troubleshooting skills. Strong communication and collaboration skills to work effectively in a cross-functional team. Interested candidate can share your resume to OR you can refer your friend to Pavithra.tr@enabledata.com for the quick response.

JD- 3-5 Yrs. Azure OpenAI,User Access and Permissions ManagementReact App UI Components MaintenanceRepository Updates - Knowledge and IntentAI Search IndexingIntent Document Training and TestingPrompt Template MaintenanceLLM Models Maintenance and UpgradesEmbedding Models Maintenance and UpgradesPlatform Services Monitoring and Health Check, Microsoft Issues SupportMinor Bug Fixes in GenAI Platform GenAI Integration API Maintenance Testing the APIs with ML Ops Automation ScriptsTesting and Deployment of all the tasks mentioned ( Dev, QA and Production )

Senior Specialist - Enterprise Applications Vikhroli, Mumbai Role Purpose: As a Senior Specialist - Enterprise Applications, you will take ownership of senior specialist - enterprise applications-specific challenges, lead initiatives that drive progress, and deliver measurable results. Collaborating with cross-functional teams, you will help the company achieve its strategic goals. Duties & Responsibilities: - Develop and implement strategies for senior specialist - enterprise applications that align with company objectives. - Oversee the execution of tasks related to senior specialist - enterprise applications, ensuring high quality and timeliness. - Collaborate with key stakeholders to identify opportunities for improvement. - Maintain a high standard of excellence in senior specialist - enterprise applications-related practices. - Lead and manage projects within your scope of senior specialist - enterprise applications. - Monitor progress and report results to leadership and stakeholders. - Serve as the primary point of contact for senior specialist - enterprise applications-related matters. - Provide mentorship and guidance to team members as needed. Knowledge, Experience & Skills: - Strong expertise in senior specialist - enterprise applications principles and methodologies. - Proven track record of success in a similar role. - Exceptional leadership, analytical, and communication skills. - Advanced knowledge of relevant tools and technologies. - Technical Skills - Dynamics 365, SQL , Azure, - Integration experience with any billing systems. - Data management framework knowledge within the D365 Finance and Operations platform according to best practices. What we offer: - Competitive salary and benefits. - Opportunities for career growth and professional development. - Flexible work arrangements to promote work-life balance. - An inclusive and collaborative work culture. About Accelya Accelya is a leading global software provider to the airline industry, powering 200+ airlines with an open, modular software platform that enables innovative airlines to drive growth, delight their customers and take control of their retailing. Owned by Vista Equity Partners long-term perennial fund and with 2K+ employees based around 10 global offices, Accelya are trusted by industry leaders to deliver now and deliver for the future. The company s passenger, cargo, and industry platforms support airline retailing from offer to settlement, both above and below the wing. Accelya are proud to deliver leading-edge technologies to our customers including through our partnership with AWS and through the pioneering NDC expertise of our Global Product teams. What does the future of the air transport industry look like to youWhether you re an industry veteran or someone with experience from other industries, we want to make your ambitions a reality! What does the future of the air transport industry look like to youWhether you re an industry veteran or someone with experience from other industries, we want to make your ambitions a reality!

As a Senior Cyber Security Application Engineer, you will play a pivotal role in designing, implementing, and managing advanced security application solutions that enable application and security engineers to work more effectively to detect and resolve security issues. Your expertise will be crucial in automating processes related to vulnerabilities, discovery of resources, and ensuring the integrity of our systems. You will be involved in all phases of the development life cycle including collaborating with cross-functional teams to innovate and create state-of-the-art security measures that help safeguard our digital assets. You should be knowledgeable in object-oriented development and engineering best practices. What Youll Do: Enhance Security : Design and implement features to boost Blackbaud products with robust security and automation. Drive Improvements : Identify and implement enhancements to improve client experience and performance. Collaborate : Work with stakeholders and team members, providing updates at daily standups. Maintain and Support : Participate in the ongoing maintenance and support of solutions. Practice Agile : Follow Agile development best practices and processes. Design Solutions : Collaborate on technical design with other engineers. Stay Updated : Keep abreast of the latest technical developments. Ensure Compliance : Adhere to web standards and accessibility requirements. What You'll Bring: Experience : 6+ years in designing and developing applications on the Microsoft stack. Cyber Security : General knowledge of cyber security for infrastructure and applications. Security Tools : Familiarity with cyber security tools and APIs. Web Technologies : Proficient in JavaScript/TypeScript, CSS, HTML, and Angular. Backend Skills : Strong in C#, .NET Core, and Cosmos DB. Azure Expertise : Familiar with AKS, Storage, Queue, Key Vault, and Redis. Best Practices : Knowledge of software engineering best practices and object-oriented development. APIs : Experience with RESTful services and APIs. Tools : Familiar with Git and continuous integration systems. Ability to deliver code which meets minimum standards of security, quality and operability.

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=5 to 10 , jd= Job Title:-SQL+ ADF Job Location:- Gurgaon Job Type:- Full Time JD:- Strong exp in SQL developmentalong with exp in cloud AWS & good exp in ADF Job Summary : We are looking for a skilled SQL + Azure Data Factory (ADF) Developer to join our data engineering team. The ideal candidate will have strong experience in writing complex SQL queries, developing ETL pipelines using Azure Data Factory, and integrating data from multiple sources into cloud-based data solutions. This role will support data warehousing, analytics, and business intelligence initiatives. Key Responsibilities : Design, develop, and maintain data integration pipelines using Azure Data Factory (ADF) . Write optimized and complex SQL queries , stored procedures, and functions for data transformation and reporting. Extract data from various structured and unstructured sources and load into Azure-based data platforms (e.g., Azure SQL Database, Azure Data Lake). Schedule and monitor ADF pipelines, ensuring data quality, accuracy, and availability. Collaborate with data analysts, data architects, and business stakeholders to gather requirements and deliver solutions. Troubleshoot data issues and implement corrective actions to resolve pipeline or data quality problems. Implement and maintain data lineage, metadata, and documentation for pipelines. Participate in code reviews, performance tuning, and optimization of ETL processes. Ensure compliance with data governance, privacy, and security standards. Hands-on experience with T-SQL / SQL Server . Experience working with Azure Data Factory (ADF) and Azure SQL . Strong understanding of ETL processes , data warehousing concepts , and cloud data architecture . Experience working with Azure services such as Azure Data Lake, Blob Storage, and Azure Synapse Analytics (preferred). Familiarity with Git/DevOps CI/CD pipelines for ADF deployments is a plus. Excellent problem-solving, analytical, and communication skills. , Title=SQL+ ADF, ref=6566294

We are looking for a skilled .Net Azure Architect with 10 to 15 years of experience in IT, specifically in application development and maintenance activities using Microsoft technology stack. The ideal candidate should have excellent verbal presentation and written communication skills, strong team skills, and the ability to lead and collaborate effectively. This position is based in Hyderabad. Roles and Responsibility Design, implement, and deploy complex enterprise-grade solutions in cloud environments. Architect microservices-based systems and ensure scalability and reliability. Develop and maintain applications using Azure PaaS technologies such as Azure Web App, Azure API App, Azure Functions, Azure Data Lake, Azure SQL, Azure Cosmos DB, Azure Storage, Azure Service Bus, Azure Service Fabric, Azure Cognitive Services (ML/AI/RPA/Bots/OCR/NLP), Azure App Service Environment, Azure Redis Cache, Azure Key Vault, Azure Visual Studio Team Services, and Azure AD MFA. Ensure high availability, multiregion, and multiset architectures using virtual networks, availability sets, and affinity groups. Collaborate with clients to understand their requirements and provide technical expertise. Implement CI/CD pipelines using Azure Powershell deployments and Powershell DSC/CLI. Job Minimum 10 years of experience in IT, focusing on application development and maintenance using Microsoft technology stack. At least 3 years of experience as an architect with expertise in designing and building Azure solutions. Experience in architecting complex enterprise-grade solutions in cloud environments. Strong understanding of microservices architecture and its implementation. Familiarity with various application stacks such as .NET, C, Powershell, etc., in a VSTS environment. Excellent verbal presentation and written communication skills. Strong team skills including the ability to lead and collaborate effectively. Mandatory skills include architectural diagrams, architectural patterns, CI/CD architecture, microservices architecture, service-oriented architecture, software engineering, and design architecture.

company name=Apptad Technologies Pvt Ltd., industry=Employment Firms/Recruitment Services Firms, experience=5 to 12 , jd= - Azure Data Engineer Job Type:- Full Time Job Location:- Bangalore JD:- We are looking for a skilled Azure Data Engineer to design, develop, and maintain data solutions on the Microsoft Azure cloud platform. The ideal candidate will have experience in data engineering, data pipeline development, ETL/ELT processes, and cloud-based data services. They will be responsible for implementing scalable and efficient data architectures, ensuring data quality, and optimizing data workflows. Key Responsibilities: Design and implement data pipelines using Azure Data Factory (ADF), Azure Databricks, and Azure Synapse Analytics . Develop and optimize ETL/ELT processes to extract, transform, and load data from various sources into Azure Data Lake, Azure SQL Database, and Azure Synapse . Work with Azure Data Lake Storage (ADLS) and Azure Blob Storage to manage large-scale structured and unstructured data. Implement data modeling, data partitioning, and indexing techniques for optimized performance in Azure-based databases. Develop and maintain real-time and batch processing solutions using Azure Stream Analytics and Event Hub . Implement data governance, data security, and compliance best practices using Azure Purview, RBAC, and encryption mechanisms . Optimize query performance and improve data accessibility through SQL tuning and indexing strategies . Collaborate with data scientists, analysts, and business stakeholders to define and implement data solutions that support business insights and analytics. Monitor and troubleshoot data pipeline failures, performance issues, and cloud infrastructure challenges . Stay updated with the latest advancements in Azure data services, big data technologies, and cloud computing . Required Skills & Qualifications: Bachelor’s or master’s degree in computer science , Information Technology, Data Science, or a related field. 5-8 years of experience in data engineering, cloud data platforms, and ETL development . Strong expertise in Azure services such as: Azure Data Factory (ADF) Azure Synapse Analytics Azure Databricks (PySpark, Scala, or Python) Azure Data Lake Storage (ADLS) Azure Blob Storage Azure SQL Database / Cosmos DB Azure Functions & Logic Apps Azure DevOps for CI/CD automation Proficiency in SQL, Python, Scala, or Spark for data transformation and processing. Experience with Big Data frameworks (Apache Spark, Hadoop) and data pipeline orchestration. Hands-on experience in data warehousing concepts, dimensional modelling, and performance optimization . Understanding of data security, governance, and compliance frameworks . Experience with CI/CD pipelines, Terraform, ARM templates, or Infrastructure as Code (Isac) . Knowledge of Power BI or other visualization tools is a plus. Strong problem-solving and troubleshooting skills. Preferred Qualifications: Familiarity with SAP, Salesforce, or third-party APIs for data integration. , Title=Azure Data Engineer, ref=6566567

Urgent Requirement!!! Notice Period-Immediate to 15days Location- Bengaluru/Chennai/Pune Experience-5+yrs , all relevant *NOTE- Kindly go through the JD before applying The following are the Key responsibilities for this position: Take ownership of the project and work independently in a collaborative environment. Engaged in the project workshops, collaborating with stakeholders and software developers to design the database schema and data models. Establish security measures for safeguarding private data, including encryption and access controls, and conduct routine database audits to find any possible vulnerabilities. Consistently monitors database performance and identifies bottlenecks that may impact the application's performance and responsiveness. Develop and oversee a strategy for disaster recovery (DRM) to protect prevent data loss in the event of disasters or system failures. Implement data governance procedures and making sure that pertinent data regulations and standards are followed. Understanding the project's data security requirements, encryption techniques, and compliance regulations such as GDPR, CCPA, or HIPAA, and creating a strategy to support the project. Manage and maintain databases, conduct routine maintenance tasks, and ensure data availability and integrity. Collaborate with data analysts to provide them with well-structured data and insights needed for business intelligence and analytics. Creating, implementing, and evaluating database-driven applications while following security and performance best practices. Supporting Azure SQL, NO SQL, and other database needs for the project. Programming skills such as SQL, Python, PowerShell, and others to interact with databases and incorporate them into applications. Conduct continuous R&D to provide the team with innovative database features, capabilities, and applications that will enhance the solutions. Skills and Abilities: Extensive and proven DBA expertise in large-scale SQL Server settings, including Azure managed instance databases. Proficient in delivering high- and low-level design (HLD and LLD) for projects, including ER diagrams, data models, and data pipeline flow. Proficient in the principles of database design, i ncluding managing of high-volume instances of Azure SQL configurations that feature high availability, including the use of database performance optimization and monitoring tools. Exceptional analytical and problem-solving abilities, enabling the rapid identification of the root cause of a problem. Proficiency in creating best practice policies and procedures for data security and integrity, along with the monitoring and restriction of database access. Experience managing data warehouses, data lakes, data bricks , and other cloud-based data storage solutions. Experience in the Recovery Point Objectives (RPO) and Recovery Time Objectives (RTO) of disaster recovery are applied to the management of all database instance. Proficiency with SQL, Python, PowerShell scripting , or related technologies for creating application dashboards for proactive monitoring and authoring automation scripts. Proficiency in overseeing cloud-based data storage systems, including data warehouses, data lakes, and data bricks. Experience with the principles and practices of master-slave replication and database storage engines. Proficiency with container technologies, Docker, Kubernetes, Azure DevOps pipelines, CI/CD, and data pipelines in cloud environments. Strong understanding of database security best practices. Knowledge of Azure cloud infrastructure and its capabilities. Working knowledge of the Agile/Waterfall approach and how data pipeline fits into it. Working knowledge of microservices, monolith architecture, and web apps based on MVC, MVVM, and SPA. Knowledge of security regulations, such as Identity & Access Management (IAM), Customer Identity & Access Management (CIAM), and security authentication technologies. Interested candidates can share thier updated resume with neha.beriwal@sapwood.net along with the following details: Current CTC Expected CTC Notice Period Current and Preferred Location Thanks and Regards Neha Beriwal Sr. Consultant Sapwood Ventures

Job Description Job Purpose The DST Business Analyst and Business Intelligence Developer for Husky will be responsible for building the business intelligence system for the company, based on the internal and external data structures. Responsible for leading the design and support of enterprise-wide business intelligence applications and architecture. Works with enterprise-wide business and IT senior management to understand and prioritize data and information requirements. Solves complex technical problems. Optimizes the performance of enterprise business intelligence tools by defining data elements which contribute to data insights which add value to the user. Creates testing methodology and criteria. Designs and coordinates a curriculum for coaching and training customers in the use of business intelligence tools to enhance business decision-making capability. Develops standards, policies, and procedures for the form, structure, and attributes of the business intelligence tools and systems. Develops data/information quality metrics. Researches new technology and develops business cases to support enterprise-wide business intelligence solutions. Key Responsibilities & Key Success Metrics Leading BI software development, deployment and maintenance Perform Data Profiling and Data Analysis activities to understand data sources Report curation, template definition and analytical data modeling Work with cross-functional teams to gather and document reporting requirements Translate business requirements into specifications that will be used to implement the required reports and dashboards, created from potentially multiple data sources Identifies and resolves data reporting issues in a timely fashion, while looking for continuous improvement opportunities. Build solutions that create value and resolve business problems Provide technical guidance to designers and other stakeholders Work effectively with members of Digital Solutions Team Troubleshoots analytics tool problems and tunes for performance Develops semantic layer and analytics query objects for end users Translation of business questions and requirements into reports, views, and analytics query objects Ensuring that quality standards are met Supporting Master Data Management Strategy Qualifications Understanding of ERP and Operational systems databases, knowledge of database programming Highly skilled at writing SQL queries with large scale, complex datasets Experience in data visualization and data storytelling Experience designing, debugging and deploying software in ADO (Azure Dev/Ops) development environment Experience with Microsoft BI stack - Power BI and SQL Server Analysis Services Experience working in an international business environment Experience with Azure Data Platform resources (ADLS, ADF, Azure Synapse, Power BI Services) Basic manufacturing and sales business process knowledge Strong communication & presentation skills Ability to moderate meetings and constructive design sessions for effective decision making English language skills are a requirement, German & French are considered an asset

Jo b Description: Should be an experienced professional with Data Engineering background. Should be able to work without much guidance. Design, develop, and maintain scalable ETL pipelines using Azure Services to process, transform, and load large datasets into AWS Datalake or other data stores. Collaborate with cross-functional teams, including data architects, analysts, and business stakeholders, to gather data requirements and deliver efficient data solutions. Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with data scientists and analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data. Improve the scalability, efficiency, and cost-effectiveness of data pipelines. Monitoring and resolving data pipeline problems will guarantee consistency and availability of the data. Key Skill Sets Required Experience in designing and hands-on development in cloud-based analytics solutions. Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required. Designing and building of data pipelines using API ingestion and Streaming ingestion methods. Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code is desirable. Strong experience in common data warehouse modelling principles including Kimball, Inmon. Knowledge in Azure Databricks, Azure IoT, Azure HDInsight + Spark, Azure Stream Analytics, Power BI is desirable Working knowledge of Python is desirable • Experience developing security models.

bachelors degree in IT, Computer Science, or a related field. 5+ years of experience in backup administration and enterprise storage management. Proven hands-on experience with Veritas NetBackup, Veeam, and Avamar. Familiarity with VMware, Windows, and Linux environments. Configure and maintain Azure Backup and Recovery Services Vaults for various workloads (VMs, SQL, Azure Files, etc ).

Develop and maintain SQL and NoSQL databases in Azure, including schema design, stored procedures and data integrity Continuous improvement of data pipelines using Azure Data Factory As a foundation Developing insightful and interactive business Minimum of4 year Database Administrator Experience with Microsoft SQL Server Minimum of 2 years of Azure SQL Database.

Job Description We are looking for experienced .Net C# developers to assist with new development, cloud formation and support of existing products. This is a primary role of Software Engineering function within the Product Development team (TagMatiks). The individual should be self-motivated, creative and proactive, with 1 - 3 years of progressive experience to work successfully in a fast-paced environment including latest technologies like C#, .Net Core framework and Azure. As a part of industry leading and patented TagMatiks product development, the individual will work closely with fellow team, product owner, solution architect, project manager and other stakeholders throughout the SDLC. Essential Requirement: - Experience in full cycle implementation of software development projects using .NET 4.8, .NET Core, C#, ADO.NET, ASP.NET, MVC, Microservice. - Experience in Azure technology is an added advantage. - Experience in developing Web API and RESTful web services. - Experienced with client-side programming HTML, CSS, AJAX, Angular - Programming skills on SQL Server with strong database design. - Good experience with design patterns, object-oriented design and programming. - Proficient with source code management system, continuous integration - Troubleshooting experience - Work directly with agile application development to provide daily support aligned with a model of planned releases - Experience in Data Modeling and Visualization - Experience in web-based/cloud software development and software deployment processes - Excellent oral and written communication - Self-confident, strong problem solving and logical thinking - Responsible for meeting deadlines and adherence to set coding standards Should be creative, quick learner and hard working

Develop and maintain SQL and NoSQL databases in Azure, including schema design, stored procedures and data integrity Continuous improvement of data pipelines using Azure Data Factory As a foundation Developing insightful and interactive business Minimum of4 year Database Administrator Experience with Microsoft SQL Server Minimum of 2 years of Azure SQL Database Kindly sent

Develop and maintain SQL and NoSQL databases in Azure, including schema design, stored procedures and data integrity Continuous improvement of data pipelines using Azure Data Factory As a foundation Developing insightful and interactive business Minimum of4 year Database Administrator Experience with Microsoft SQL Server Minimum of 2 years of Azure SQL Database