27 Azure Data Jobs

Role: Azure Data Engineer Senior / Lead Location: Indore / Ahmedabad / Hyderabad Experience: 5 to 10+ Years Qualification: B.Tech / MCA / BCA / B.Sc (Computer Science or related field) Notice Period: Immediate Joiners Preferred We Have an Immediate Requirement For Azure Data Engineers at Senior and Lead levels to work on cutting-edge data projects in Azure ecosystem. Primary Skills: Azure Data Factory (ADF) Azure Databricks SQL Development & Optimization Power BI Reports, Dashboards, DAX Data Integration & ETL Pipelines Data Modeling and Transformation Secondary Skills: Azure Synapse Analytics Python / PySpark in Databricks DevOps exposure for data pipelines Version control using Git Exposure to Agile & CI/CD Environments Strong communication and client-handling skills Key Responsibilities: Design and implement data pipelines using ADF and Databricks Transform and process large-scale datasets efficiently Develop interactive reports and dashboards in Power BI Write and optimize SQL queries and stored procedures Work closely with architects and business teams to deliver high-quality data solutions Lead and mentor junior data engineers in best practices

Qualification: B.Tech / MCA / BCA / B.Sc (Computer Science or related field) Notice Period: Immediate Joiners Preferred We Have an Immediate Requirement For Azure Data Engineers at Senior and Lead levels to work on cutting-edge data projects in Azure ecosystem. Primary Skills: Azure Data Factory (ADF) Azure Databricks SQL Development & Optimization Power BI Reports, Dashboards, DAX Data Integration & ETL Pipelines Data Modeling and Transformation Secondary Skills: Azure Synapse Analytics Python / PySpark in Databricks DevOps exposure for data pipelines Version control using Git Exposure to Agile & CI/CD Environments Strong communication and client-handling skills Key Responsibilities: Design and implement data pipelines using ADF and Databricks Transform and process large-scale datasets efficiently Develop interactive reports and dashboards in Power BI Write and optimize SQL queries and stored procedures Work closely with architects and business teams to deliver high-quality data solutions Lead and mentor junior data engineers in best practices

Min 5+ yrs of relevant professional exp Exp on Migration of on-premises instances to sustainable cloud solution Deployment and administration of Azure services within the portal Azure Active Directory / Entra ID Infrastructure as Code Terraform / ARM Required Candidate profile Configure and maintain Azure Services Hands on Managing SQL Server databases Administration. Hands on Azure Data Lake & Data Factory Call on 7042331616 or drop cv on supreet.imaginators@gmail.com

Min 5+ yrs of relevant professional exp Configure and maintain Azure Services Hands on Managing SQL Server databases Administration. Hands on Azure Data Lake & Data Factory Exp on Migration of on-premises instances to sustainable cloud solution Required Candidate profile Certification in AZURE and MSSQL is plus Pls Call Vikas at 8527840989 Email vikasimaginators@gmail.com HYBRID/ 2-11 shifts CTC upto 14L fixed

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure SynapseAzure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHubIOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

Role - Azure Data Engineer Skill - Azure Data Factory Experience - 7-12 years Location - Chennai, Kochi and Bangalore Responsibilities: Design, develop, and maintain robust data pipelines and ETL processes. Implement and optimize data storage solutions in data warehouses and data lakes. Collaborate with cross-functional teams to understand data requirements and deliver high-quality data solutions. Utilize Microsoft Azure tools for data integration, transformation, and analysis. Develop and maintain reports and dashboards using Power BI and other analytics tools. Ensure data integrity, consistency, and security across all data systems. Optimize database and query performance to support data-driven decision-making. Qualifications: 7-12 years of professional experience in data engineering or a related field. Profound expertise in SQL, T-SQL, database design, and data warehousing principles. Strong experience with Microsoft Azure tools, including SQL Azure, Azure Data Factory, Azure Databricks, and Azure Data Lake. Proficiency in Python, PySpark, and PySQL for data processing and analytics tasks. Experience with Power BI and other reporting and analytics tools. Demonstrated knowledge of OLAP, data warehouse design concepts, and performance optimizations in database and query processing. Excellent problem-solving, analytical, and communication skills. Interested Candidates can share their updated resume at megha.chattopadhyay@aspiresys.com

Job Purpose: To lead the support of banks Enterprise Data Platform Experience With overall experience between 10 to 13 years, applicant must have minimum 7+ years of hard core professional experience in leading the support teams technically. Technical Skills Expertise in Azure Data services Expertise on tools like Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage (ADLS), Synapse. Excellent knowledge in SQL queries and performance tuning Must have experience in working with vendors and other third party stakeholders. Good to have knowledge of in one or more of the following: Azure Powershell scripting or Python scripting for data transformation in ADF Power BI SSIS API integration with Azure Data Platform Responsibility Act as the support lead of banks enterprise data platform Lead a team of internal/vendor resources Support in troubleshooting any Azure data service issues. To be available for planned/unplanned activities in banks enterprise data platform. Quick troubleshooting by providing innovative solution Qualifications Bachelors of Computer Science or Equivalent Should have certification done on Azure Fundamental and Azure Engineer courses (AZ900 or DP200/201) Behavioral Competencies Natural leadership skills Should have excellent problem-solving and time management skills Strong analytical ability Should have excellent communication skill Process oriented with flexible execution mindset. Identify, track and escalate risks in a timely manner

We are seeking a highly skilled and experienced Azure Data Engineer to join our dynamic team. In this critical role, you will be responsible for designing, developing, and maintaining robust and scalable data solutions on the Microsoft Azure platform. You will work closely with data scientists, analysts, and business stakeholders to translate business requirements into effective data pipelines and data models. Responsibilities * Design, develop, and implement data pipelines and ETL/ELT processes using Azure Data Factory, Azure Databricks, and other relevant Azure services. * Develop and maintain data lakes and data warehouses on Azure, including Azure Data Lake Storage Gen2 and Azure Synapse Analytics. * Build and optimize data models for data warehousing, data marts, and data lakes. * Develop and implement data quality checks and data governance processes. * Troubleshoot and resolve data-related issues. * Collaborate with data scientists and analysts to support data exploration and analysis. * Stay current with the latest advancements in cloud computing and data engineering technologies. * Mentor junior data engineers and contribute to the development of best practices. * Participate in all phases of the software development lifecycle, from requirements gathering to deployment and maintenance. Qualifications * 10+ years of experience in data engineering, with at least 5 years of experience working with Azure data services. * Strong proficiency in Python, and other relevant programming languages. * Experience with data warehousing and data lake architectures. * Experience with ETL/ELT tools and technologies, such as Azure Data Factory, Azure Databricks, and Apache Spark. * Experience with data modeling and data warehousing concepts. * Experience with data quality and data governance best practices. * Strong analytical and problem-solving skills. * Excellent communication and collaboration skills. * Experience with Agile development methodologies. * Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred). * Relevant Azure certifications (e.g., Azure Data Engineer Associate) are a plus. Bonus Points: * Experience with machine learning and artificial intelligence. * Experience with containerization technologies (e.g., Docker, Kubernetes). * Experience with DevOps practices and tools.

Design, develop, and implement data solutions using Azure Data Stack components . Write and optimize advanced SQL queries for data extraction, transformation, and analysis. Develop data processing workflows and ETL processes using Python and PySpark.

Senior Associate JD Job Description: We're looking for a Microsoft platform Technical Consultant with 5-11 years of professional experience in Dynamics 365 CE and data Development within a consultancy environment Responsibilities: Gather, assimilate, and analyze relevant data to help surface and support solutions. Articulate ideas and thoughts in a clear, structured, and compelling way Be result oriented, assuming responsibility for assigned work and reviewing for accuracy and quality. Collaborate effectively across teams, supporting your teammates and maintaining a positive and proactive approach even in challenging situations. Participate in technical analysis and create specification document. Track Development progress and project deliverables Effectively articulate not only technical and design/implementation concepts but also the potential solutions. Perform coding, implementation, testing, debugging, modification, documentation, and application maintenance. Create Unit Test automation scripts. Understand and implement Best Practices for Designing and Coding Required Competencies: Design and develop azure data pipelines using data factory. Strong background working on various relational databases including data modelling. Solid understanding of data governance, data quality, and data security principles. Hands on experience in ETL processes using SQL databases, knowledge of various storage services (ADLS, Blob,etc). Ability to write and optimize SQL queries for data transformation including writing stored procedures. Implement data validation and error handling in the data pipelines. High level understanding of MS SQL, Azure SQL, SQL managed instance and other Azure databases, like Cosmos DB. Ability to troubleshoot data issues and coordinate seamlessly with client tech teams and Microsoft tech teams. Good communication and problem-solving skills

Vidushi Infotech: Join a Dynamic Team and Shape the Future of Technology About us: Vidushi Infotech Software Solutions Provider Private Limited, founded in 2003 and headquartered in Pune, India, is a global digital transformation company with a direct presence in India, the USA, Panama, and New Zealand. This strategic presence allows us to provide focused support and tailored solutions to our clients in these key regions. Coupled with our indirect reach through strategic partnerships in over 90 other countries, we offer a truly global service network. With over 21 years of experience, we offer a comprehensive suite of IT solutions, encompassing high-quality web and mobile application development, as well as robust IT security services. Our expertise extends to cloud services, business applications, ERP, CRM, and disruptive technologies such as Blockchain, Artificial Intelligence, Machine Learning, IoT, Bots, and Data Science. We also provide comprehensive cybersecurity solutions. Serving a diverse global clientele across various industries, government agencies, and business segments, we cater to the evolving needs of businesses worldwide. Our reach spans North and South America, the UK, Europe, Africa, the Middle East, Asia, New Zealand, and Australia. Through strategic partnerships and tailored advice, we empower our customers to drive innovation, achieve sustainable growth, and build successful businesses. Our highly qualified and experienced management team leads a talented group of software engineers dedicated to delivering world-class products and services. At Vidushi Infotech, we are committed to excellence in all that we do, and we strive to provide exceptional value to our clients. Key Benefits: Career Growth: Advance your skills and take on challenging projects. Collaborative Culture: Work with a passionate and supportive team. Global Impact: Contribute to innovative solutions that serve clients worldwide. Cutting-Edge Technology: Stay at the forefront of technological advancements. Competitive Compensation: Enjoy competitive salaries and benefits. Ready to make a difference? Join Vidushi Infotech and embark on a rewarding career journey. Azure DE + Palantir Mandatory - Strong proficiency in python, SQL, pyspark, Azure databricks, Azure Data Factory, strong communication skills as part of the Azure Data Engineer Role Added to the Data engineering experience, the must have for Palantir are: Required (hands-on resource who can demonstrate this during the interview) Data Integration: building pipelines, python transform & source types reference, data connection, codes & repos Model Integration: models, business logic, templated analysis & reports Ontology Manager: object types, functions, object views, actions, permissions Application Building: Workshop, writeback, advanced actions Security: data foundation, data protection & governance, restricted access & restricted views AIP

Description: Primary Skill - Platform Engineer, Data Bricks, Azure data platform, infra support Main 3 competence needed in Primary Skills - Platform Engineer, Data Bricks, Azure data platform Platform Engineer, Data Bricks, Azure data platform