33 Synapse Analytics Jobs - Page 2

- Design, build, and implement cloud infrastructure and services using Azure. - Implement and optimize CI/CD pipelines using tools like GitHub, Jenkins, Azure DevOps etc. - Experience with exposing data to end-users via Power BI, Azure API Apps. - Knowledge of Azure Data & Analytics PaaS Services: Azure Data Factory, Azure Data Lake, Azure Synapse Analytics - Designing and implementing data storage solutions on Azure - Building and maintaining data pipelines for data integration and processing - Developing and maintaining data models and schemas - Experience in turning business use cases and requirements into technical solutions. - Experience in business processing mapping of data and analytics solutions - Experience in managing teams, being a technical coach. - Experience with agile delivery methodologies, proof of concepts and prototyping - Ability to conduct data profiling, cataloguing, and mapping for technical design and construction of technical data flows - Designing and implementing scalable and secure data processing pipelines using Azure Data Factory, Azure Databricks, and other Azure services. - Managing and optimizing data storage using Azure Data Lake Storage, Azure SQL Data Warehouse, and Azure Cosmos DB. - Developing data models and maintaining data architecture to support data analytics and business intelligence reporting. - Ensuring data quality and consistency through data cleaning, transformation, and integration processes. - Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance. - Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions. - Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information. - Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks. - Utilizing Azure's analytics services, such as Azure Synapse Analytics, to provide insights and support data-driven decision-making. - Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities. - Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards. - Providing guidance and support for data governance, including metadata management, data lineage, and data cataloging.

The ideal candidate will be adept at working with large data sets and transforming Microsoft 365 (M365) data stored in Azure into usable formats for end users. This role involves designing, developing, and maintaining ETL processes to ensure data is accurately extracted, transformed, and loaded into our data systems. The M365 ETL Developer will work closely with cross-functional teams to understand data requirements and deliver high-quality data solutions. Key Responsibilities: Design and develop ETL processes for M365 data stored in Azure. Transform and load large data sets into data warehouses or other storage solutions. Collaborate with data analysts and other stakeholders to understand data needs. Ensure data integrity and accuracy throughout the ETL process. Optimize ETL processes for performance and scalability. Troubleshoot and resolve data-related issues. Qualifications: Proven experience as an ETL Developer, preferably with M365 data. Strong knowledge of ETL tools and processes. Proficiency in SQL and data transformation techniques. Experience with Azure and large data sets. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities.

The ideal candidate will be adept at working with large data sets and transforming Microsoft 365 (M365) data stored in Azure into usable formats for end users. This role involves designing, developing, and maintaining ETL processes to ensure data is accurately extracted, transformed, and loaded into our data systems. The M365 ETL Developer will work closely with cross-functional teams to understand data requirements and deliver high-quality data solutions. Key Responsibilities: Design and develop ETL processes for M365 data stored in Azure. Transform and load large data sets into data warehouses or other storage solutions. Collaborate with data analysts and other stakeholders to understand data needs. Ensure data integrity and accuracy throughout the ETL process. Optimize ETL processes for performance and scalability. Troubleshoot and resolve data-related issues. Qualifications: Proven experience as an ETL Developer, preferably with M365 data. Strong knowledge of ETL tools and processes. Proficiency in SQL and data transformation techniques. Experience with Azure and large data sets. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities.

The ideal candidate will be adept at working with large data sets and transforming Microsoft 365 (M365) data stored in Azure into usable formats for end users. This role involves designing, developing, and maintaining ETL processes to ensure data is accurately extracted, transformed, and loaded into our data systems. The M365 ETL Developer will work closely with cross-functional teams to understand data requirements and deliver high-quality data solutions. Key Responsibilities: Design and develop ETL processes for M365 data stored in Azure. Transform and load large data sets into data warehouses or other storage solutions. Collaborate with data analysts and other stakeholders to understand data needs. Ensure data integrity and accuracy throughout the ETL process. Optimize ETL processes for performance and scalability. Troubleshoot and resolve data-related issues. Qualifications: Proven experience as an ETL Developer, preferably with M365 data. Strong knowledge of ETL tools and processes. Proficiency in SQL and data transformation techniques. Experience with Azure and large data sets. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities.

The ideal candidate will be adept at working with large data sets and transforming Microsoft 365 (M365) data stored in Azure into usable formats for end users. This role involves designing, developing, and maintaining ETL processes to ensure data is accurately extracted, transformed, and loaded into our data systems. The M365 ETL Developer will work closely with cross-functional teams to understand data requirements and deliver high-quality data solutions. Key Responsibilities: Design and develop ETL processes for M365 data stored in Azure. Transform and load large data sets into data warehouses or other storage solutions. Collaborate with data analysts and other stakeholders to understand data needs. Ensure data integrity and accuracy throughout the ETL process. Optimize ETL processes for performance and scalability. Troubleshoot and resolve data-related issues. Qualifications: Proven experience as an ETL Developer, preferably with M365 data. Strong knowledge of ETL tools and processes. Proficiency in SQL and data transformation techniques. Experience with Azure and large data sets. Excellent problem-solving and analytical skills. Strong communication and collaboration abilities.

Job Overview : A Data Platform Engineer to be a key player in our transformation and modernization programs, leading the migration of applications from legacy systems to Azure-based architectures. This role involves designing, implementing, and optimizing scalable, cloud-native data solutions using Databricks, Azure DevOps (ADO), and Agile development methodologies. As an active contributor to code development, you will help drive automation, operational excellence, and data quality across our platforms. You will collaborate with data science and product teams to create solutions that enhance our data-driven decision-making capabilities. Responsibilities Lead the migration and modernization of data platforms, moving applications and pipelines to Azure-based solutions. Actively contribute to code development in projects and services. Manage and scale data pipelines from internal and external data sources to support new product launches and ensure high data quality. Develop automation and monitoring frameworks to capture key metrics and operational KPIs for pipeline performance. Implement best practices around systems integration, security, performance, and data management. Collaborate with internal teams, including data science and product teams, to drive solutioning and proof-of-concept (PoC) discussions. Develop and optimize procedures to transition data into production. Define and manage SLAs for data products and operational processes. Prototype and build scalable solutions for data engineering and analytics. Research and apply state-of-the-art methodologies in data and Platform engineering. Create and maintain technical documentation for knowledge sharing. Develop reusable packages and libraries to enhance development efficiency. Qualifications Bachelors degree in Computer Science, MIS, Business Management, or related field 10 + years experience in Information Technology 4 + years of Azure, AWS and Cloud technologies Experience in data platform engineering, with a focus on cloud transformation and modernization. Strong knowledge of Azure services, including Databricks, Azure Data Factory, Synapse Analytics, and Azure DevOps (ADO). Proficiency in SQL, Python, and Spark for data engineering tasks. Hands-on experience building and scaling data pipelines in cloud environments.

An experienced Azure Data Engineer responsible for designing and maintaining scalable data pipelines using Azure Data Factory, Data Lake Storage, and Synapse Analytics. Proficient in SQL and ETL/ELT processes, with Python and Databricks as added advantages. The role focuses on ensuring data quality, performance, and security within Azure-based solutions.

Key Responsibilities : Architect and design end-to-end data solutions on Azure, with a focus on Databricks. Lead data architecture initiatives, ensuring alignment with best practices and business objectives. Collaborate with stakeholders to define data strategies, architectures, and roadmaps. Migrate and transform data from Oracle to Azure Data Lake. Ensure data solutions are secure, reliable, and scalable. Provide technical leadership and mentorship to junior team members. Required Skills : Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse, and Synapse Analytics. Deep expertise in Databricks, including Spark, Delta Lake. Strong understanding of data architecture principles and best practices. Proven track record of leading large-scale data projects and initiatives. Hands-on experience with Oracle to Azure Data Lake migrations is a plus. Design data integration strategies, ensuring seamless integration between Azure services and on-premises/cloud applications. Optimize performance and cost efficiency for Databricks clusters, data pipelines, and storage systems Monitor and manage cloud resources to ensure high availability, performance and scalability. Should have experience in setting up and configuring Azure DevOps Excellent communication and collaboration skills. Preferred Qualifications : Azure Solutions Architect Expert certification. Databricks Certification. Understanding of ODI, ODS, OAS is a plus.