200 Synapse Analytics Jobs - Page 5

Responsibilities: Design and implement scalable data pipelines using Microsoft Fabric, including Dataflows Gen2, Lakehouse, Notebooks and SQL endpoints. Develop ETL/ELT solutions using PySpark, T-SQL and Spark Notebooks within Fabric and Azure Synapse. Manage and optimize data storage and compute in OneLake supporting Lakehouse and Warehouse use cases. Implement and manage Azure Key Vault for secure handling of secrets, credentials and connection strings. Configure and manage CI/CD pipelines for Data engineering projects using Azure Devops including automated deployment of Fabric assets. Integrate data from diverse sources including SQL server, Azure Blob, REST APIs and on-prem systems. Coll...

At EY, you'll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture, and technology to become the best version of you. And we're counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all. As part of our GDS Consulting team, you will be part of NCLC team delivering specific to Microsoft account. You will be working on latest Microsoft BI technologies and will collaborate with other teams within Consulting services. The opportunity We're looking for resources with expertise in Microsoft BI, Power BI, Azure Data Factory, Data Br...

You have 4 to 7 years of experience and possess primary skills in Azure Databricks, Pyspark, ADF, Synapse Analytics & SQL. The job location can be in Chennai, Bangalore, Hyderabad, or NCR, and the work mode is Hybrid. Your notice period should be immediate to a maximum of 30 days. As a Senior Data Engineer, you will be responsible for leading the design, development, and enhancement of in-house data platforms. Your role involves constructing datasets as per stakeholder requests, building and maintaining data pipelines, and collaborating closely with data analysts, data scientists, and business application development teams to deliver effective data solutions. Your key responsibilities includ...

As an Azure Data Engineer specializing in Microsoft Fabric (Data Lake) based in Mumbai, you should have a minimum of 4 years of experience in the field, with at least 2 years dedicated to working with Microsoft Fabric technologies. Your expertise in Azure services is key, specifically in Data Lake, Synapse Analytics, Data Factory, Azure Storage, and Azure SQL. Your responsibilities will involve data modeling, ETL/ELT processes, and data integration patterns. It is essential to have experience in Power BI integration for effective data visualization. Proficiency in SQL, Python, or PySpark for data transformations is required for this role. A solid understanding of data governance, security, a...

As a Data Engineer specializing in SAP BW and Azure Data Factory (ADF), you will be responsible for leading the migration of SAP BW data to Azure. Your expertise in data integration, ETL, and cloud data platforms will be crucial in designing, implementing, and optimizing SAP BW-to-Azure migration projects. Your key responsibilities will include ensuring data integrity, scalability, and efficiency during the migration process. You will design and implement ETL/ELT pipelines using Azure Data Factory (ADF), Synapse, and other Azure services. Additionally, you will develop and optimize data ingestion, transformation, and orchestration workflows between SAP BW and Azure. Collaborating with busine...

Description - Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by diversity and inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health equity on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities: Follow the development practices, policies, and reporting expectati...

Position Overview We are seeking a highly skilled Senior Data Engineer to join our data platform team, responsible for designing and implementing scalable, cloud-native data solutions. This role focuses on building modern data infrastructure using AWS and Azure services to support our growing analytics and machine learning initiatives. Key Responsibilities Business Translation : Collaborate with business stakeholders to understand requirements and translate them into scalable data models, architectures, and robust end-to-end data pipelines ETL/ELT Implementation : Design, develop, and maintain high-performance batch and real-time data pipelines using modern frameworks like Apache Spark, Delt...

Job Title: Power BI Architect Department: Data & Analytics / IT Industry: [Banking / Healthcare / Retail / Manufacturing / Consulting] Job Summary: We are seeking a seasoned Power BI Architect to lead the design, development, and deployment of enterprise-level business intelligence solutions. The ideal candidate will have deep expertise in Power BI, data architecture, and analytics strategy, with a strong ability to translate business needs into scalable BI solutions. Key Responsibilities: Architect and implement end-to-end Power BI solutions across the organization. Design and optimize data models using DAX and Power Query. Define BI strategy, governance, and best practices. Integrate Power...

You are applying for the position of Assistant Team Lead at ArcelorMittal's Global Business and Technologies hub in India. As a Reporting Application Maintenance Specialist, your primary responsibility will be to support and maintain enterprise reporting solutions for FIPM business functions. You will play a crucial role in ensuring data availability, report accuracy, and system performance across various platforms like Azure Data Lake, Databricks, Synapse Analytics, and SAP BW. Your efforts will directly contribute to operational visibility, manufacturing efficiency, and supply chain decision-making. Your key responsibilities will include monitoring and maintaining reporting applications an...

As a Lead Azure Data Factory Engineer (ADF), you will play a crucial role in managing and developing data engineering solutions. With a focus on Azure Data Factory (ADF), your responsibilities will include designing, implementing, and optimizing data pipelines to ensure efficient data processing. You should have a minimum of 10 years of experience in Data Engineering, with at least 4 years dedicated to Azure Data Factory development. Your expertise in SQL and Synapse Analytics will be essential in creating robust and scalable data solutions. Strong communication skills are a must-have for this role as you will be collaborating with cross-functional teams and stakeholders. Additionally, your ...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Associate Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data tra...

As a Data Engineer based in Pune, India, you will be responsible for defining and developing data sets, models, and cubes. Your role will involve building simple to complex pipelines and data flows in Azure Data Factory (ADF). This includes extracting data from source systems into the data warehouse staging area, ensuring data validation, accuracy, type conversion, and applying business rules. You should possess strong visualization skills in Power BI and have expert knowledge in writing advanced DAX formulas. Additionally, proficiency in Power Queries, Power Automate, M Language, and R Programming is essential for this role. Advanced knowledge of Azure SQL Database, Synapse Analytics, Azure...

You will be responsible for leading end-to-end architecture design for data and analytics solutions on Azure, defining and implementing Azure-based modern data platforms, and overseeing solution delivery to ensure timelines and milestones are met. Collaborating with Pre-sales teams, you will support RFP responses, solutioning, and client presentations. Additionally, you will create and maintain comprehensive architectural documentation, review implementation teams, and ensure alignment with security, compliance, and governance standards. Your role will also involve overseeing data integration pipelines, supporting application migration and modernization efforts on Azure, and providing techni...

Experience in data engineering, AI solution development, and ML model deployment. Strong skills in Python, ML frameworks (e.g., Scikit-learn, PyTorch, TensorFlow). Experience with Azure AI services, Azure OpenAI, Azure AI Foundry plus Copilot Studio

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Wh...

Line of Service Advisory Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Wh...

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Senior Associate Job Description & Summary At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals. In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. WhyPWC AtPwC...

As a Senior Azure Data Engineer, your responsibilities will include: Building scalable data pipelines using Databricks and PySpark Transforming raw data into usable business insights Integrating Azure services like Blob Storage, Data Lake, and Synapse Analytics Deploying and maintaining machine learning models using MLlib or TensorFlow Executing large-scale Spark jobs with performance tuning on Spark Pools Leveraging Databricks Notebooks and managing workflows with MLflow Qualifications: Bachelors/Masters in Computer Science, Data Science, or equivalent 7+ years in Data Engineering, with 3+ years in Azure Databricks Strong hands-on in: PySpark, Spark SQL, RDDs, Pandas, NumPy, Delta Lake Azur...

You are a skilled Data Engineer with expertise in the Azure Data Platform, specifically Azure Databricks, PySpark, Azure Data Factory, and Synapse Analytics. Your primary responsibility will be to design, develop, and optimize large-scale data pipelines and analytics solutions. Your key responsibilities will include developing and optimizing data pipelines using Azure Data Factory for ingestion into Azure Databricks, implementing PySpark transformations in Databricks with a focus on performance tuning, building and maintaining data layers, and ensuring efficient export strategies for reporting and analytics. You will also work with Azure Synapse for advanced querying, transformations, and re...

Job Description As an Data Engineer, you&aposll be responsible for designing, implementing, and managing data solutions on the Azure platform. Here are some common use cases and examples of tasks performed by Azure Data Engineers: Data Ingestion & Integration: Use tools like Azure Data Factory to extract, transform, and load (ETL) data from sources such as databases, files, APIs, and streams into Azure. Data Transformation & Processing: Prepare data for analysis using platforms like Azure Databricks or Synapse Analytics with Apache Spark. Data Storage & Management: Choose appropriate storage solutionsAzure SQL Database or Cosmos DB for structured data, Data Lake Storage for big data, and Blo...

Thanks & Regards Sulabh Tailang HR-Talent Acquisition Manager |Celebal Technologies |91-9448844746 Sulabh.tailang@celebaltech.com|LinkedIn-sulabhtailang |Twitter-Ersulabh Website-www.celebaltech.com Job Role Data Engineer Job Location Jaipur Job Type Permanent Experience Required- (2-4) Years As a Data Engineer, you will play a critical role in designing, developing, and maintaining our data pipelines and infrastructure. You will work closely with our data scientists, analysts, and other stakeholders to ensure data is accurate, timely, and accessible. Your contributions will directly impact our data-driven decision-making and support our growth. Key Responsibilities: Data Pipeline Developmen...

Databricks lead with 10 to 12 years and Sr. Engineer with 5+ Years of experience with above mentioned skill sets. Databricks + PySpark is a must; Skills needed are intermediate to expert,GCP is good to have Strong development and problem-solving skills. Experienced in development of Data platforms / Datalakes using ETL or ELT approach, preferably Databricks Delta lakehouse. Development of real-time data workflows and pipelines using (Py)Spark Structured Steaming solutions. Must have programming skills: Python, PySpark, SQL A fair understanding of commonly used data offerings on Azure (ADF, Synapse etc). Knowledge of DevOps processes and hands-on experience in implementing pipelines using CI/...

Design and manage Azure-based data pipelines, models, and ETL processes. Ensure governance, security, performance, and real-time analytics while leveraging DevOps, CI/CD, and big data tools for reliable, scalable solutions. Health insurance Maternity policy Annual bonus Provident fund Gratuity

Key Responsibilities: Design, implement, and maintain database systems using SQL and Azure Synapse Analytics. Monitor database performance, implement changes, and apply new patches and versions when required. Ensure data integrity and security by implementing and managing appropriate access controls and backup/recovery procedures. Collaborate with development teams to design and optimize database queries and structures. Troubleshoot and resolve database issues, ensuring minimal downtime and data loss. Develop and maintain documentation related to database configurations, processes, and service records. Assist in the design and implementation of data warehousing solutions using Azure Synapse....

Job Summary: We are seeking a skilled and detail-oriented Azure Data Engineer to join our data engineering team. The ideal candidate will have hands-on experience with Azure Data Factory, Azure Synapse or Microsoft Fabric, and strong programming skills in Python or PySpark. Proficiency in SQL and experience in designing and maintaining modern data pipelines and data lakes is essential. Key Responsibilities: Design, build, and manage scalable data pipelines using Azure Data Factory (ADF). Develop and optimize data transformations using Azure Synapse Analytics or Microsoft Fabric. Write efficient and reusable code in Python or PySpark for data wrangling and processing. Create, maintain, and op...