1082 Azure Synapse Jobs - Page 18

About The Role Project Role : Data Platform Architect Project Role Description : Architects the data platform blueprint and implements the design, encompassing the relevant data platform components. Collaborates with the Integration Architects and Data Architects to ensure cohesive integration between systems and data models. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NAMinimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :We are looking for a highly skilled Senior Databricks Developer with extensive experience in building and managing modern data platforms on Azure using Lakehouse architecture. ...

Capgemini Invent Capgemini Invent is the digital innovation, consulting and transformation brand of the Capgemini Group, a global business line that combines market leading expertise in strategy, technology, data science and creative design, to help CxOs envision and build whats next for their businesses. Your Role Proficiency in MS Fabric,Azure Data Factory, Azure Synapse Analytics, Azure Databricks Extensive knowledge of MS Fabriccomponents: Lakehouses, OneLake, Data Pipelines, Real-Time Analytics, Power BI Integration, Semantic Model. Integrate Fabric capabilities for seamless data flow, governance, and collaborationacross teams. Strong understanding of Delta Lake, Parquet, and distribute...

Your Role As a senior software engineer with Capgemini, you will have 6 + years of experience in Azure Fabric technology with strong project track record In this role you will play a key role in Strong customer orientation, decision making, problem solving, communication and presentation skills Very good judgement skills and ability to shape compelling solutions and solve unstructured problems with assumptions Very good collaboration skills and ability to interact with multi-cultural and multi-functional teams spread across geographies Strong executive presence and entrepreneurial spirit Superb leadership and team building skills with ability to build consensus and achieve goals through coll...

Your Role IT experience with a minimum of 5+ years of experience in creating data warehouses, data lakes, ETL/ELT, data pipelines on cloud. Has data pipeline implementation experience with any of these cloud providers - AWS, Azure, GCP. preferably - Life Sciences Domain Experience with cloud storage, cloud database, cloud Data ware housing and Data Lake solutions like Snowflake, Big query, AWS Redshift, ADLS, S3. Experience with cloud storage, cloud database, cloud Data ware housing and Data Lake solutions like Snowflake, Big query, AWS Redshift, ADLS, S3. Experience in using cloud data integration services for structured, semi structured and unstructured data such as Azure Databricks, Azure...

7 to 10 + years of IT experience in Data and Analytics 5+ years of experience in Azure Data Lake, Azure Data Factory, Azure Data Bricks ,Azure Synapse Analytics, Azure Storage Explorer Hands-on experience on Azure functions & Azure synapse is must Should have project experience in Azure Data Lake / Blob (Storage purpose) Sound knowledge in Data Bricks & Logic Apps Proficient in creating Data Factory pipelines for on-cloud ETL processing; copy activity, custom Azure development etc. Strong working knowledge of SQL and the ability to write, debug and optimize queries. Knowledge of cloud stack (Azure) for cloud-based components of the process. Experience in some of the cloud-based capabilities:...

Job Position : Azure Data Engineer Skills: ADF, PySpark, SQL, Azure-Synapse, Data Bricks Location: Bengaluru Responsibilities 5 years of experience in leading the design and development of data and analytics projects in a global company. Experience in working for projects across-functional teams, building sustainable processes and coordinating release schedules. MS SQL experience with data modeling • Experience in working with Microsoft Azure and strong knowledge about ADLS, Blob Storage, Data Factory, SQL Server and Warehouses. Experience in Cloud based EDW platforms (Snowflake, Synapse, Redshift, Big Query etc) • Build and launch new data models that provide intuitive analytics for the ana...

e are seeking a highly motivated and detail-oriented individual to join our team as a Data Engineer with experience in the designing, constructing, and maintaining the architecture and infrastructure necessary for data generation, storage and processing and contribute to the successful implementation of digital government policies and programs. You will play a key role in developing, robust, scalable, and efficient systems to manage large volumes of data, make it accessible for analysis and decision-making and driving innovation & optimizing operations across various government ministries and state departments in India. Key Responsibilities: Data Architecture Design: Design, develop, and mai...

Job Summary We are seeking a skilled Azure Data Engineer with 4 years of overall experience , including at least 2 years of hands-on experience with Azure Databricks (Must) . The ideal candidate will have strong expertise in building and maintaining scalable data pipelines and working across cloud-based data platforms. Key Responsibilities Design, develop, and optimize large-scale data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse. Implement data lake solutions and work with structured and unstructured datasets in Azure Data Lake Storage (ADLS). Collaborate with data scientists, analysts, and engineering teams to design and deliver end-to-end data solutions. Develop...

Job Summary We are seeking a skilled Azure Data Engineer with 4 years of overall experience , including at least 2 years of hands-on experience with Azure Databricks (Must) . The ideal candidate will have strong expertise in building and maintaining scalable data pipelines and working across cloud-based data platforms. Key Responsibilities Design, develop, and optimize large-scale data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse. Implement data lake solutions and work with structured and unstructured datasets in Azure Data Lake Storage (ADLS). Collaborate with data scientists, analysts, and engineering teams to design and deliver end-to-end data solutions. Develop...

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Microsoft Azure Databricks Good to have skills : Microsoft Azure Data Services, PySpark Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating ...

Job Summary We are seeking a skilled Azure Data Engineer with 4 years of overall experience , including at least 2 years of hands-on experience with Azure Databricks (Must) . The ideal candidate will have strong expertise in building and maintaining scalable data pipelines and working across cloud-based data platforms. Key Responsibilities Design, develop, and optimize large-scale data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse. Implement data lake solutions and work with structured and unstructured datasets in Azure Data Lake Storage (ADLS). Collaborate with data scientists, analysts, and engineering teams to design and deliver end-to-end data solutions. Develop...

Position: Sr. Data Engineer / Data Architect Your team You will act as a key member of the consulting team helping Clients to re-invent their corporate finance function by leveraging advanced analytics. You will be closely working directly with senior stakeholders of the clients designing and implementing data strategy in finance space which includes multiple use cases viz. controllership, FP&A and GPO. You will be responsible for developing technical solutions to deliver scalable analytical solutions leveraging cloud and big data technologies. You will also collaborate with Business Consultants and Product Owners to design and implement technical solutions. Communication and organisation sk...

We are looking for a skilled and experienced Data Engineer with hands-on expertise in Azure Data Services to join our growing team. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and enterprise-grade data solutions using modern Azure tools and technologies. Azure Data Engineer Job Title : Azure Data Engineer Location : Pune Experience : 8+ years Key Responsibilities: Design, develop, and maintain scalable data pipelines using Azure Data Factory , Azure Synapse Analytics , Databricks , and Azure Data Lake Storage (ADLS) . Implement data ingestion, transformation, and integration processes from various sources (on-premises/cloud). Cre...

Develop, maintain, and optimize data pipelines using Microsoft Fabric, Azure Data Factory (ADF), and Azure Synapse Analytics. Integrate data from various sources such as Azure SQL Database, Data Lake, Blob Storage, and REST APIs. Design and implement scalable data models and data marts in Microsoft Fabric. Build, deploy, and manage dataflows and notebooks in Fabric. Develop robust ETL/ELT processes for structured and unstructured data. Having data governance, security, and monitoring within Azure ecosystems will be a plus. Utilize GitHub or Azure DevOps for source control and CI/CD of Fabric assets. Collaborate with data analysts, data scientists, and business stakeholders to define data req...

Roles & Responsibilities: Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory and related services. Work with large, complex datasets and ensure data integrity, quality, and security. Implement and optimize data storage solutions (Azure SQL Database, Azure Data Lake, Synapse, etc.). Collaborate with business and technical teams to gather requirements and deliver efficient data solutions. Monitor and improve performance, reliability, and cost-efficiency of data workflows. Ensure adherence to best practices in data engineering, security, and compliance. Support data scientists and analysts by providing clean, reliable, and well-structured data. Requ...

Job Application Link: https://app.fabrichq.ai/jobs/e1003d62-f76d-4ee1-b787-da40ce6f717f Job Summary: You will act as a key member of the Data consulting team, working directly with partners and senior stakeholders. You will design and implement big data and analytics solutions. Communication and organisational skills are key for this position. Key Responsibilities Develop data solutions within a Big Data Azure and/or other cloud environments Working with divergent data sets that meet the requirements of the Data Science and Data Analytics teams Build and design Data Architectures using Azure Data factory, Databricks, Data lake, Synapse Liaising with CTO, Product Owners and other Operations t...

Responsibilities: Design, build, and maintain scalable and reliable data pipelines using Azure Data Factory, Azure Synapse, and Databricks. • Develop and optimize large-scale data processing jobs using PySpark and Spark SQL on Azure Databricks or Synapse Spark pools. • Manage and work with large datasets stored in data lakes (ADLS Gen2) and integrate with enterprise data warehouses (e.g., SQL Server, Synapse). • Implement robust data transformation, cleansing, and aggregation logic to support analytics and reporting use cases. • Collaborate with BI developers, analysts, and data scientists to provision clean, reliable, and timely datasets. • Optimize data flows for performance and cost effic...

Overview of 66degrees 66degrees is a leading consulting and professional services company specializing in developing AI-focused, data-led solutions leveraging the latest advancements in cloud technology. With our unmatched engineering capabilities and vast industry experience, we help the world's leading brands transform their business challenges into opportunities and shape the future of work. At 66degrees, we believe in embracing the challenge and winning together. These values not only guide us in achieving our goals as a company but also for our people. We are dedicated to creating a significant impact for our employees by fostering a culture that sparks innovation and supports professio...

Position Overview: The Microsoft Cloud Data Engineer role is ideal for a highly capable and motivated Microsoft Cloud Data Engineer to design, build, and maintain cloud-based data solutions using Microsoft Azure technologies. This role is key for developing robust, scalable, and secure data pipelines and supporting analytics workloads that power business insights and data-driven decision-making. Key Responsibilities: Design and implement ETL/ELT pipelines using Azure Data Factory, Azure Synapse Analytics, Azure Databricks, and Azure Data Lake Storage. Develop and manage data integration workflows to ingest data from multiple sources including APIs, on-prem systems, and cloud services. Optimi...

About Client Hiring for One of the Most Prestigious Multinational Corporations Job Title : Azure Databricks Qualification : Any Graduate or Above Experience : 6 to 16 Yrs Location : pan india Skill required - Azure Databricks, Azure Data Factory, Azure SQL with Data Bricks Professional certificate must. Key Responsibilities: Design and build scalable and robust data pipelines using Azure Databricks, PySpark, and Spark SQL. Integrate data from various structured and unstructured data sources using Azure Data Factory,ADLS, Azure Synapse, etc. Develop and maintain ETL/ELT processes for ingestion, transformation, and storage of data. Collaborate with data scientists, analysts, and other engineer...

Design, build, & optimize ADF pipelines; integrate diverse data sources; ensure quality/performance; collaborate with teams; support deployments. ADF, SQL, ETL Azure Data Lake, Synapse, Azure DevOps, pipeline optimization, performance tuning. Provident fund Health insurance

You will be responsible for testing ETL pipelines with a focus on source to target validation. Your key skills will include: - Proficiency in SSMS (SQL Server Management Studio) - Familiarity with Azure Synapse, including understanding of medallion architecture and PySpark notebooks - Strong understanding of Data Warehousing - Excellent communication skills - Extensive experience working in Agile Qualifications required for this role: - Minimum 5 years of experience as an ETL Test Engineer - Proficiency in SSMS, Azure Synapse, and testing ETL pipelines - Strong understanding of Data Warehousing concepts - Excellent communication skills - Experience working in Agile environments The company o...

Educational Requirements Bachelor of Engineering,BSc,BCA,MCA,MSc,MTech 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...

Overview of 66degrees 66degrees is a leading Google Cloud Premier Partner, though this specific role focuses on our Microsoft Azure projects. We believe that great engineering takes heart, and we are dedicated to building innovative data solutions that guide our clients on their digital transformation journey. Role Description As an Azure Data Engineer, you will be responsible for building and maintaining robust, scalable data platforms. You will work with a variety of Azure services to deliver raw data into analytics-ready assets and support a secure, efficient data environment. This role requires strong hands-on engineering skills to implement data pipelines, manage data integrity, and ens...

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve cl...