11 Azure Analysis Jobs

Job Overview: We are looking for a BI & Visualization Developer who will be part of our Analytics Practice and will be expected to actively work in a multi-disciplinary fast paced environment. This role requires a broad range of skills and the ability to step into different roles depending on the size and scope of the project; its primary responsibility is to support the design, development and maintainance of business intelligence and analytics solutions. Responsibilities: Develop reports, dashboards, and advanced visualizations. Works closely with the product managers, business analysts, clients etc. to understand the needs / requirements and develop visualizations needed. Provide support to new of existing applications while recommending best practices and leading projects to implement new functionality. Learn and develop new visualization techniques as required to keep up with the contemporary visualization design and presentation. Reviews the solution requirements and architecture to ensure selection of appropriate technology, efficient use of resources and integration of multiple systems and technology. Collaborate in design reviews and code reviews to ensure standards are met. Recommend new standards for visualizations. Build and reuse template/components/web services across multiple dashboards Support presentations to Customers and Partners Advising on new technology trends and possible adoption to maintain competitive advantage Mentoring Associates Experience Needed: 8+ years of related experience is required. A Bachelor degree or Masters degree in Computer Science or related technical discipline is required Highly skilled in data visualization tools like PowerBI, Tableau, Qlikview etc. Very Good Understanding of PowerBI Tabular Model/Azure Analysis Services using large datasets. Strong SQL coding experience with performance optimization experience for data queries. Understands different data models like normalized, de-normalied, stars, and snowflake models. Worked in big data environments, cloud data stores, different RDBMS and OLAP solutions. Experience in design, development, and deployment of BI systems. Candidates with ETL experience preferred. Is familiar with the principles and practices involved in development and maintenance of software solutions and architectures and in service delivery. Has strong technical background and remains evergreen with technology and industry developments. Additional Demonstrated ability to have successfully completed multiple, complex technical projects Prior experience with application delivery using an Onshore/Offshore model Experience with business processes across multiple Master data domains in a services based company Demonstrates a rational and organized approach to the tasks undertaken and an awareness of the need to achieve quality. Demonstrates high standards of professional behavior in dealings with clients, colleagues and staff. Strong written communication skills. Is effective and persuasive in both written and oral communication. Experience with gathering end user requirements and writing technical documentation Time management and multitasking skills to effectively meet deadlines under time-to-market pressure May require occasional travel

Core Competences Required and Desired Attributes: Bachelor's degree in computer science, Information Technology, or a related field. Proficiency in Azure Data Factory, Azure Databricks and Unity Catalog, Azure SQL Database, and other Azure data services. Strong programming skills in SQL, Python and PySpark languages. Experience in the Asset Management domain would be preferable. Strong proficiency in data analysis and data modelling, with the ability to extract insights from complex data sets. Hands-on experience in Power BI, including creating custom visuals, DAX expressions, and data modelling. Familiarity with Azure Analysis Services, data modelling techniques, and optimization. Experience with data quality and data governance frameworks with an ability to debug, fine tune and optimise large scale data processing jobs. Strong analytical and problem-solving skills, with a keen eye for detail. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Proactive and self-motivated, with the ability to manage multiple tasks and deliver high-quality results within deadlines. Roles and Responsibilities Core Competences Required and Desired Attributes: Bachelor's degree in computer science, Information Technology, or a related field. Proficiency in Azure Data Factory, Azure Databricks and Unity Catalog, Azure SQL Database, and other Azure data services. Strong programming skills in SQL, Python and PySpark languages. Experience in the Asset Management domain would be preferable. Strong proficiency in data analysis and data modelling, with the ability to extract insights from complex data sets. Hands-on experience in Power BI, including creating custom visuals, DAX expressions, and data modelling. Familiarity with Azure Analysis Services, data modelling techniques, and optimization. Experience with data quality and data governance frameworks with an ability to debug, fine tune and optimise large scale data processing jobs. Strong analytical and problem-solving skills, with a keen eye for detail. Excellent communication and interpersonal skills, with the ability to work collaboratively in a team environment. Proactive and self-motivated, with the ability to manage multiple tasks and deliver high-quality results within deadlines.

Azure Data Factory Azure Databricks Azure SQL database Synapse Analytics Logic App Azure Functions Azure Analysis Service Active Directory Azure Devops Python Pyspark

With 4 9 Years of Experience Build ETL ELT pipelines with Azure Data Factory Azure Databricks Spark Azure Data Lake Azure SQL Database and Synapse Minimum 3 Years of Hands-on experience developing Solid knowledge of Data Modelling Relational Databases and BI and Data Warehousing Demonstrated expertise in SQL Good to have experience with CICD Cloud architectures NoSQL Databases Azure Analysis Services and Power BI Working knowledge or experience in Agile, DevOps Good written and verbal communication skills English Ability to work with geographically diverse teams via collaborative technologies

Job Information Job Opening ID ZR_1666_JOB Date Opened 19/12/2022 Industry Technology Job Type Work Experience 6-10 years Job Title Azure Data Engineer City Chennai Province Tamil Nadu Country India Postal Code 600001 Number of Positions 4 Azure Data Factory Azure Databricks Azure SQL database Synapse Analytics Logic App Azure Functions Azure Analysis Service Active Directory Azure Devops Python Pyspark 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

Salary: 20 to 30 LPA Exp: 3 to 8 years Location : Gurgaon Notice: Immediate to 30 days..!! Key Responsibilities & Skillsets: Common Skillsets : 4+ years of experience in analytics, Azure Databricks , Power BI, SQL and associated data engineering jobs. Must have experience with managing and transforming big data sets using Azure ETL Excellent communication & presentation skills Experience in managing Python codes and collaborating with customer on model evolution Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise). Superior analytical and problem solving skills Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision Good communication skill for client interaction Data Management Skillsets: Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures). Strong ability to translate functional specifications / requirements to technical requirements

Salary: 25 to 40 LPA Exp: 5 to 9 years Location : Gurgaon/Bangalore/Pune Notice: Immediate to 30 days..!! Key Responsibilities & Skillsets: Common Skillsets : 5+ years of experience in analytics, Azure Databricks , Power BI, SQL and associated data engineering jobs. Must have experience with managing and transforming big data sets using Azure ETL Excellent communication & presentation skills Experience in managing Python codes and collaborating with customer on model evolution Good knowledge of data base management and Hadoop/Spark, SQL, HIVE, Python (expertise). Superior analytical and problem solving skills Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision Good communication skill for client interaction Data Management Skillsets: Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures). Strong ability to translate functional specifications / requirements to technical requirements

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Data Engineering Good to have skills : Microsoft ASP.NET, Microsoft Azure PaaS Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems either end-to-end or for a specific stage of the product lifecycle. You will apply your knowledge of technologies, applications, methodologies, processes, and tools to support clients, projects, or entities. Your typical day will involve collaborating with the team, making team decisions, engaging with multiple teams, and providing solutions to problems for your immediate team and across multiple teams. You will also contribute to key decisions and provide guidance to ensure successful project delivery. We are seeking a highly skilled and experienced Azure Data Engineer to join our manufacturing team. The ideal candidate will play a crucial role in designing, developing, and maintaining data solutions in the Microsoft Azure cloud platform. As an Azure Data Engineer, you will work closely with cross-functional teams to enable data-driven decision-making and enhance data-driven processes within our manufacturing operations.Key Responsibilities:1.Data Architecture and Modeling: Design and develop data architectures, data models, and data pipelines on Microsoft Azure. Create and maintain data integration solutions, ETL processes, and data transformations.2.Data Ingestion and Integration: Implement data ingestion solutions to collect data from various sources, including sensors, IoT devices, and manufacturing equipment. Integrate data from on-premises systems and cloud-based sources into Azure data repositories.3.Data Storage and Management: Create and manage data storage solutions in Azure, such as Azure SQL Data Warehouse, Azure Data Lake Storage, and Azure Cosmos DB. Ensure data security, compliance, and governance best practices are followed.4.Data Analysis and Reporting: Develop data analytics and reporting solutions using tools like Azure Data Factory, Power BI, and Azure Analysis Services. Support data visualization and reporting for manufacturing insights and KPI monitoring.5.Performance Optimization: Optimize data pipelines, queries, and storage to ensure high performance and scalability. Monitor and troubleshoot data-related issues and implement solutions as needed.6.Automation and DevOps: Automate data processes and workflows using Azure DevOps and CI/CD pipelines. Collaborate with the IT team to ensure the smooth deployment and operation of data solutions.7.Documentation and Training: Create and maintain comprehensive documentation for data solutions and processes. Provide training and support to manufacturing staff on data-related tools and processes.8.Data Governance and Compliance: Implement and enforce data governance policies, ensuring data quality and security. Ensure compliance with industry-specific regulations and data protection standards.Technical Experience Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Proven experience as a data engineer with a focus on Azure services. Proficiency in SQL, T-SQL, and data query languages. Strong expertise in Microsoft Azure services, including Azure Data Factory, Azure SQL Database, Azure Data Lake, and Azure Analysis Services. Knowledge of data warehousing concepts, data modeling, and ETL processes. Experience with data visualization tools, such as Power BI. Strong problem-solving skills and the ability to work in a collaborative team environment. Excellent communication skills and the ability to translate business requirements into technical solutions.Professional Attributes: Industry-specific certifications related to manufacturing or data engineering. Experience with machine learning and predictive analytics for manufacturing data. Knowledge of lean manufacturing principles and continuous improvement methodologiesEducational Qualification :Engineering Degree (Bachelors or Masters) Additional Information:1)This job description outlines the key responsibilities and qualifications expected from an Azure Data Engineer in the manufacturing industry. Manufacturing companies often rely on data-driven insights to optimize processes, improve quality, and make informed decisions, and the Azure Data Engineer plays a crucial role in enabling these capabilities. Qualifications 15 years full time education

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 Power BI Good to have skills : NA Minimum 7 year(s) of experience is required Educational Qualification : BE/BTech/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 Power BI, SSI: NON SSI:Good to Have Skills :SSI:No Technology Specialization NON SSI :Job Requirements :Key Responsibilities :A:Gather requirements and business process knowledge in order to transform the data in a way that is geared towards the needs of end users B:Ensure that the data architecture is scalable and maintainable C:Work with the business in designing and delivering correct, high quality data D:Guiding teams to write high-quality code and complete application development on schedule E:Develop technical documents and handbooks to accurately represent application design and code Technical Experience :A Minimum 2 years of experience on Power BI connecting to various sources both on premise and in cloud Configuring and scheduling data refresh, language translationsB Minimum 2 year of experience on SQL Server 2014 and/or SQL Server Analysis services Tabular model and TableauC Have in-depth knowledge of Power BI services, models, charts, toolsD Good to have Azure data services hands on experience E Good to have Azure SQL DB experienceF Have in-depth skill in Azure Analysis Service or SS Professional Attributes :A Should have excellent communication and presentation skillsB Should be a good team player and leadC Strong articulation skills are mandatory D:Flexible in taking different responsibilities E:Responsible and dedicated towards project delivery milestones Educational Qualification:BE/BTech/MTechAdditional Info : Qualifications BE/BTech/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 Azure Analytics Services Good to have skills : Microsoft Azure Data Services Minimum 5 year(s) of experience is required Educational Qualification : 1.Must have:BE/BTech/MCA2.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 Azure Analytics ServicesGood to Have Skills :Microsoft Azure Data ServicesJob Requirements :Key Responsibilities :A.Function as the Lead Data Architect for a small, simple project/proposal or as a team lead for medium/large sized project or proposalB.Discuss specific Big data architecture and related issues with client architect/team (in area of expertise)C.Analyze and assess the impact of the requirements on the data and its lifecycleD.Lead Big data architecture and design medium-big Cloud based, Big Data and Analytical Solutions using Lambda architecture.E.Breadth of experience in various client scenarios and situations Technical Experience :A.Strong experience in Azure is preferred with hands-on experience in two or more of these skills :Azure Synapse Analytics, Azure HDInsight, Azure Databricks with PySpark / Scala / SparkSQL, Azure Analysis ServicesB.Experience in one or more Real-time/Streaming technologies including:Azure Stream Analytics, Azure Data Explorer, Azure Time Series Insights, etc.C.Experience in handling medium to large Big Data implementationsD.Candidate must have 5-6 years of IT experience and around 3 years of Big data experience (design + build) Professional Attributes :1.Should be able to drive the technology design meetings, propose technology design and architecture 2.Should have excellent client communication skills3.Should have good analytical and problem-solving skills Educational Qualification:1.Must have:BE/BTech/MCA2.Good to have:ME/MTechAdditional Info : Qualifications 1.Must have:BE/BTech/MCA2.Good to have:ME/MTech

Project Role : Software Development Lead Project Role Description : Develop and configure software systems either end-to-end or for a specific stage of product lifecycle. Apply knowledge of technologies, applications, methodologies, processes and tools to support a client, project or entity. Must have skills : Data Engineering Good to have skills : Microsoft ASP.NET, Microsoft Azure PaaS Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Lead, you will be responsible for developing and configuring software systems either end-to-end or for a specific stage of the product lifecycle. You will apply your knowledge of technologies, applications, methodologies, processes, and tools to support clients, projects, or entities. Your typical day will involve collaborating with the team, making team decisions, engaging with multiple teams, and providing solutions to problems for your immediate team and across multiple teams. You will also contribute to key decisions and provide guidance to ensure successful project delivery. We are seeking a highly skilled and experienced Azure Data Engineer to join our manufacturing team. The ideal candidate will play a crucial role in designing, developing, and maintaining data solutions in the Microsoft Azure cloud platform. As an Azure Data Engineer, you will work closely with cross-functional teams to enable data-driven decision-making and enhance data-driven processes within our manufacturing operations.Key Responsibilities:1.Data Architecture and Modeling: Design and develop data architectures, data models, and data pipelines on Microsoft Azure. Create and maintain data integration solutions, ETL processes, and data transformations.2.Data Ingestion and Integration: Implement data ingestion solutions to collect data from various sources, including sensors, IoT devices, and manufacturing equipment. Integrate data from on-premises systems and cloud-based sources into Azure data repositories.3.Data Storage and Management: Create and manage data storage solutions in Azure, such as Azure SQL Data Warehouse, Azure Data Lake Storage, and Azure Cosmos DB. Ensure data security, compliance, and governance best practices are followed.4.Data Analysis and Reporting: Develop data analytics and reporting solutions using tools like Azure Data Factory, Power BI, and Azure Analysis Services. Support data visualization and reporting for manufacturing insights and KPI monitoring.5.Performance Optimization: Optimize data pipelines, queries, and storage to ensure high performance and scalability. Monitor and troubleshoot data-related issues and implement solutions as needed.6.Automation and DevOps: Automate data processes and workflows using Azure DevOps and CI/CD pipelines. Collaborate with the IT team to ensure the smooth deployment and operation of data solutions.7.Documentation and Training: Create and maintain comprehensive documentation for data solutions and processes. Provide training and support to manufacturing staff on data-related tools and processes.8.Data Governance and Compliance: Implement and enforce data governance policies, ensuring data quality and security. Ensure compliance with industry-specific regulations and data protection standards.Technical Experience Bachelor's or Master's degree in Computer Science, Information Systems, or a related field. Proven experience as a data engineer with a focus on Azure services. Proficiency in SQL, T-SQL, and data query languages. Strong expertise in Microsoft Azure services, including Azure Data Factory, Azure SQL Database, Azure Data Lake, and Azure Analysis Services. Knowledge of data warehousing concepts, data modeling, and ETL processes. Experience with data visualization tools, such as Power BI. Strong problem-solving skills and the ability to work in a collaborative team environment. Excellent communication skills and the ability to translate business requirements into technical solutions.Professional Attributes: Industry-specific certifications related to manufacturing or data engineering. Experience with machine learning and predictive analytics for manufacturing data. Knowledge of lean manufacturing principles and continuous improvement methodologiesEducational Qualification :Engineering Degree (Bachelors or Masters) Additional Information:1)This job description outlines the key responsibilities and qualifications expected from an Azure Data Engineer in the manufacturing industry. Manufacturing companies often rely on data-driven insights to optimize processes, improve quality, and make informed decisions, and the Azure Data Engineer plays a crucial role in enabling these capabilities. Qualifications 15 years full time education