1066 Azure Synapse Jobs - Page 12

Role & responsibilities 10+ years of IT experience 5+ years of experience in developing data engineering solutions on Azure Good understanding of cloud services related to Data on Azure Hands-on experience in building data ingestion, data quality, real-time and batch processes with SQLs, Azure Data Factory, PySpark Experience on the platforms like Synapse, Databricks, Snowflake Experience in working on projects related to migration to cloud, data lake/lake house development Very Good communication skills Data Engineering related certification on Azure

Must have 10+ years of IT experience 5+ years of experience in developing data engineering solutions on Azure Good understanding of cloud services related to Data on Azure Hands-on experience in building data ingestion, data quality, real-time and batch processes with SQLs, Azure Data Factory, PySpark Experience on the platforms like Synapse, Databricks, Snowflake Experience in working on projects related to migration to cloud, data lake/lake house development Very Good communication skills Data Engineering related certification on Azure Good to have Understanding of other cloud services of AWS, GCP Experience in data modeling for data warehouses PoC execution experience in Microsoft Fabric ...

We are looking for a skilled Lead Data Engineer with 10-15 years of experience to lead our team in designing, implementing, and optimizing scalable data solutions using Azure data services. The ideal candidate will have a strong background in data engineering best practices, data modeling, and ETL processes. Roles and Responsibility Lead and mentor a team of Azure Data Engineers, providing technical guidance and support. Design, implement, and optimize scalable data solutions using Azure data services such as Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Ensure data engineering best practices and data governance are followed. Collaborate with cross-fu...

Role Overview: In this role, you will design, build, and deploy data architectures and pipelines to deliver robust, reliable, and near real-time data to business stakeholders. Your main focus will be enabling insights and Business Intelligence services for the organization. Working closely with various stakeholders, you will ensure that reporting solutions meet the growing needs of the business. As part of a geographically diverse team, you will contribute to key initiatives such as Profitable Volume Growth and Customer First Workstreams. Key Responsibilities: - Designing and implementing ETL processes - Managing data warehousing solutions - Exposing and deploying machine learning models to ...

You will be responsible for implementing architecture and design from the definition phase to the go-live phase by working with business analysts and subject matter experts to understand current priorities. You will define conceptual and low-level models using AI technology and review designs to ensure alignment with architecture. Additionally, you will be involved in hands-on development of AI-led solutions. Key Responsibilities: - Implement the entire data pipeline including data crawling, ETL, creating Fact Tables, and data quality management - Integrate with multiple systems using API, Web Services, or data exchange mechanisms - Build interfaces to gather data from various sources such a...

Responsibilities: Design, develop & optimize data pipelines using Azure Data Factory, Databricks & Synapse. Collaborate with cross-functional teams on project delivery within Azure DevOps. UK Shift

We are looking for a skilled Azure Synapse Analyst with 10-15 years of experience to join our team in [location to be specified]. The ideal candidate will have a strong background in Azure Synapse and excellent analytical skills. Roles and Responsibility Design, develop, and implement Azure Synapse solutions to meet business requirements. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain complex data models and ETL processes using Azure Synapse. Troubleshoot and resolve technical issues related to Azure Synapse. Provide expert-level support for Azure Synapse-related projects. Stay up-to-date with the latest trends and technologies i...

We are looking for a skilled Data Engineer with 6 to 11 years of experience to join our team in Bangalore. The ideal candidate will have expertise in SQL, ETL, data modeling, and programming languages such as Python, C++, C#, or Scala. Roles and Responsibility Design and develop scalable data pipelines using Big Data/MPP analytics platforms. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain large-scale databases and data systems. Ensure data quality and integrity through data validation and testing procedures. Optimize data processing workflows for improved performance and efficiency. Troubleshoot and resolve technical issues relate...

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : Microsoft Azure Data Services Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : BE Summary :As an Application Developer, you will be responsible for designing, building, and configuring applications to meet business process and application requirements using Microsoft Azure Data Services. Your typical day will involve working with Azure Data Factory, Azure Databricks, and Azure Synapse Analytics to develop and deploy data solutions. Roles & Responsibilities: Design, dev...

We are looking for a skilled Data Engineer with 6 to 11 years of experience to join our team in Bangalore. The ideal candidate will have expertise in SQL, ETL, data modeling, and programming languages such as Python, C++, C#, Scala, etc. Roles and Responsibility Design and develop scalable data pipelines using Big Data/MPP analytics platforms. Collaborate with cross-functional teams to identify and prioritize project requirements. Develop and maintain large-scale databases and data systems. Ensure data quality and integrity by implementing robust testing and validation procedures. Optimize data processing workflows for improved performance and efficiency. Participate in code reviews and cont...

Azure ADF, Databricks with Pyspark/ Python Data Engineer with Pyspark, Databricks skillset 4+ years of experience Data Engineering with min 3+ years hands on experience in Pyspark for data transformations Sound Knowledge on - Azure Data Bricks, Azure Data Lake. Sound knowledge in Data Bricks & Logic Apps Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview. Extensive knowledge on big data concepts like Hive, and spark framework. Should be able to write complex SQL queries. Sound understanding of DWH concepts. Strong hands-on experience on Python or Scala. Hands on experience on Azure Data Factory. Should be able to coordinate indepe...

We are looking for a skilled Azure Data Engineer with 8 to 20 years of experience. The ideal candidate will have expertise in designing and implementing data pipelines using Azure services. Roles and Responsibility Design, develop, and deploy scalable data pipelines using Azure Data Factory (ADF) and Azure Synapse. Collaborate with cross-functional teams to gather requirements and deliver high-quality solutions. Develop and maintain large-scale data architectures on Azure Cloud. Ensure data quality, security, and compliance with industry standards. Optimize data processing workflows for performance and efficiency. Troubleshoot complex technical issues related to data engineering. Job Require...

Azure ADF, Databricks with Pyspark/ Python Data Engineer with Pyspark, Databricks skillset 4+ years of experience Data Engineering with min 3+ years hands on experience in Pyspark for data transformations Sound Knowledge on - Azure Data Bricks, Azure Data Lake. Sound knowledge in Data Bricks & Logic Apps Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview. Extensive knowledge on big data concepts like Hive, and spark framework. Should be able to write complex SQL queries. Sound understanding of DWH concepts. Strong hands-on experience on Python or Scala. Hands on experience on Azure Data Factory. Should be able to coordinate indepe...

Solution Development and Implementation: Design, develop, and deploy robust analytics solutions leveraging the Microsoft platform (e.g., Azure Data Factory, Azure Synapse Analytics, SQL Server, Power BI, Microsoft Fabric) and Databricks. Build scalable and high-performance data pipelines and ETL processes for structured and unstructured data. Develop and maintain data models, data warehousing solutions, and advanced reporting dashboards. Collaborate with business analysts, data scientists, and stakeholders to gather requirements and translate business needs. Provide technical leadership and mentorship to junior developers. Design and implement best practices for data integration, cleansing, ...

Primary Skills Azure Data Factory, Azure Synapse Analytics, Azure Databricks: Extensive experience in building and managing scalable data pipelines for data integration, transformation, and analysis. Azure Data Lake Storage, Azure SQL Database: Proven ability to manage and optimize data storage solutions, ensuring data accessibility and reliability. Azure Machine Learning: Expertise in developing, training, and deploying machine learning models using Azure's machine learning tools and services. Data Warehousing & Data Modeling: Strong experience with designing and maintaining data warehouses, with deep understanding of ETL processes and data models. Programming in Python or R: Skilled in wri...

Responsibilities: Design, develop, and maintain Azure data solutions. Optimize performance and ensure data security. Collaborate with cross-functional teams on project delivery. Remote Job Full time Freelancing UK Shift

As a Principal Engineer (Data Governance) at Syneos Health, you will play a crucial role in deploying and configuring Microsoft Purview to establish end-to-end data governance for structured and unstructured clinical and healthcare datasets. Your responsibilities will include: - Defining and implementing metadata management frameworks and data stewardship models aligned with HIPAA, GDPR, and internal data privacy policies. - Integrating Purview with Azure Synapse, Databricks, Azure Data Factory, and various production systems for metadata harvesting, lineage tracking, and compliance auditing. - Collaborating with clinical researchers, data scientists, and business analysts to ensure governed...

Data architect Location: Gurgaon Mode of working: Hybrid (3 days work from office) Key Responsibilities Architecture & Strategy Define and drive the data architecture roadmap aligned with business and analytics goals. Design scalable and maintainable Lakehouse architectures using Azure services. Establish best practices for data modeling, storage, and processing across structured and unstructured data. Evaluate and recommend emerging technologies and architectural patterns. Technical Execution Lead the development of data pipelines using Azure Databricks and Delta Live Tables . Architect solutions leveraging Azure Data Lake Storage , Delta Lake , Azure Functions and other Azure-native servic...

Lead Data Engineer Data Management Job description Company Overview Accordion is a global private equity-focused financial consulting firm specializing in driving value creation through services rooted in Data & Analytics and powered by technology. Accordion works at the intersection of Private Equity sponsors and portfolio companies' management teams across every stage of the investment lifecycle. We provide hands-on, execution-oriented support, driving value through the office of the CFO by building data and analytics capabilities and identifying and implementing strategic work, rooted in data and analytics. Accordion is headquartered in New York City with 10 offices worldwide. Join us and...

Azure ADF, Databricks with Pyspark/ Python Data Engineer with Pyspark, Databricks skillset 4+ years of experience Data Engineering with min 3+ years hands on experience in Pyspark for data transformations Sound Knowledge on - Azure Data Bricks, Azure Data Lake. Sound knowledge in Data Bricks & Logic Apps Delta Lake, Azure SQL and Azure blob storage, Azure logic apps, Azure Functions and Azure Synapse, Azure Purview. Extensive knowledge on big data concepts like Hive, and spark framework. Should be able to write complex SQL queries. Sound understanding of DWH concepts. Strong hands-on experience on Python or Scala. Hands on experience on Azure Data Factory. Should be able to coordinate indepe...

Job Overview We are looking for a Data Engineer 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 the acquisition, transformation, loading and processing of data from a multitude of disparate data sources, including structured and unstructured data for advanced analytics and machine learning in a big data environment. Responsibilities: Engineer a modern data pipeline to collect, organize, and process data from disparate sources. Performs data manageme...

Key Responsibilities: Team Leadership: Lead and mentor a team of Azure Data Engineers, providing technical guidance and support. Foster a collaborative and innovative team environment. Conduct regular performance reviews and set development goals for team members. Organize training sessions to enhance team skills and technical capabilities. Azure Data Platform: Design, implement, and optimize scalable data solutions using Azure data services such as Azure Databricks, Azure Data Factory, Azure SQL Database, and Azure Synapse Analytics. Ensure data engineering best practices and data governance are followed. Stay up-to-date with Azure data technologies and recommend improvements to enhance dat...

Work Location: Pan India Experience: 12+yrs Required Skills: Develop and maintain Azure Data Architecture, ensuring compliance with data-related policies and standards Analyze data-related system integration challenges and propose appropriate solutions Design and implement data solutions on Azure, using a range of services like Azure SQL Database, Data Factory, Data Lake Store, Data Lake Analytics, Stream Analytics, Azure Storage, Cosmos DB and more Collaborate with data scientists and IT team members to assist with data-related technical issues and support their data infrastructure needs Implement data security and privacy protection Thanks & Regards Suganya R suganya@spstaffing.in

Educational Requirements MCA,MSc,MTech,Bachelor of Engineering,BCA,BSc Service Line Data & Analytics Unit Responsibilities A day in the life of an Infoscion • As part of the Infosys delivery team, your primary role would be to ensure effective Design, Development, Validation and Support activities, to assure that our clients are satisfied with the high levels of service in the technology domain. • You will gather the requirements and specifications to understand the client requirements in a detailed manner and translate the same into system requirements. • You will play a key role in the overall estimation of work requirements to provide the right information on project estimations to Techno...

We are seeking a highly skilled and experienced Azure Data Engineer to join our dynamic team in Chennai. The ideal candidate will have strong expertise in building, maintaining, and optimizing scalable data pipelines and architectures on Azure. You will collaborate with cross-functional stakeholders to deliver enterprise-grade data solutions that enable advanced analytics and business intelligence. Key Responsibilities Design, develop, and optimize scalable and reliable data pipelines using Azure Data Factory (ADF), Databricks, PySpark, and SQL. Implement data ingestion, transformation, cleansing, and integration solutions from multiple structured and unstructured data sources. Design and im...