243 Data Factory Jobs - Page 6

As a Senior Azure Integration Engineer (API & .NET), your role will involve designing, developing, testing, and maintaining API and integration solutions using Microsoft Azure services. You will need to leverage your strong technical expertise, hands-on development skills, and collaborate with cross-functional teams to deliver scalable, reliable, and secure solutions. Key Responsibilities: - Design, develop, and maintain integration solutions using Azure Integration Services such as Logic Apps, Functions, API Management, Event Grid, Data Factory, and Service Bus. - Build integration components using C# and .NET, ensuring performance, scalability, and adherence to best practices. - Design and...

Job Description: • Good knowledge of Azure SQL, .Net, C, SSIS worked as developer • Strong proficiency in .NET (C#) development. • Hands-on experience with Azure SQL (Database design, Stored Procedures, T-SQL, performance tuning). • Practical experience in SSIS package design, deployment, and debugging. • Understanding of Azure ecosystem (Data Factory, Functions, Logic Apps is a plus). • Good knowledge of SDLC, Agile methodologies, and version control (Git/Azure DevOps). Strong problem-solving, analytical, and communication skills Essential Skills: Good knowledge of Azure SQL, .Net, C, SSIS Desirable Skills: Knowledge of Azure

Key Responsibilities: Lead the architecture, design, and implementation of data platforms and analytics solutions for industrial environments. Define solution architecture including data models, data integration, ingestion pipelines, and storage strategies. Design and manage integration workflows using Azure Data Factory, Azure Databricks, Azure Data Lake , and other industrial data platforms. Develop robust data models for applications using SQL, Python , and other scripting languages. Integrate diverse data sources including SAP data, time-series data, production/operation data, and engineering data . Work with REST APIs to fetch, post, or sync external datasets to internal platforms. Appl...

Key Responsibilities: We are seeking a highly skilled Data Architect with deep experience in data engineering, data modeling, data governance, and industrial analytics . The ideal candidate must have a strong background in CPG or Manufacturing sectors and be hands-on with Azure Data Stack and modern data platforms . Mandatory Skills & Responsibilities: 7 - 9 years of solid experience in: Data Modeling, Data Engineering, Data Governance, Advanced Analytics Domain exposure to CPG, Manufacturing , or related industrial sectors Strong understanding of industry standards such as ISA-95 and Industry 4.0 Proven experience with: Azure Data Factory , Azure Databricks , and Azure Data Lake Define and ...

We are seeking a highly skilled Power BI Expert with over 5 years of experience in business intelligence and data analytics. The ideal candidate will have expertise in Azure, Data Factory, Microsoft Fabric, and Data Warehousing. Required Candidate profile Experience with Power BI, Azure, Data Warehousing, and related technologies Proficiency in DAX, Power Query, SQL, and data visualization best practices Degree in Computer Science, Data Analytic.

Roles and responsibilities The responsibilities of the role include: Responsible for client interaction to gather the Business challenges and documentation Critical thinking and problem-solving skills are essential for interpreting data. Responsible of presenting the solution and insight to the Clients. Evaluate internal systems for efficiency, problems, and inaccuracies, developing and maintaining protocols for handling, processing, and cleaning data Work directly with management and users to gather requirements, provide status updates, and build relationships Requirement Design, build, and maintain Azure data services for internal and client platforms, including Azure SQL Database, Azure D...

Role Overview: As the Lead Data Engineer at Mastercard, you will be responsible for designing and building scalable, cloud-native data platforms using PySpark, Python, and modern data engineering practices. Your role will involve mentoring and guiding other engineers, fostering a culture of curiosity and continuous improvement, and creating robust ETL/ELT pipelines to serve business-critical use cases. You will lead by example by writing high-quality, testable code, participating in architecture and design discussions, and decomposing complex problems into scalable components aligned with platform and product goals. Championing best practices in data engineering, you will drive collaboration...

As a highly skilled Azure PySpark Solution Architect, your role involves designing and implementing scalable data solutions on Microsoft Azure. Your expertise in Azure services, PySpark, and solution architecture will ensure efficient data processing and analytics workflows for enterprise applications. **Key Responsibilities:** - Design and implement end-to-end data solutions using Azure Data Services and PySpark - Develop high-performance ETL pipelines leveraging Azure Databricks, Azure Data Factory, and Synapse Analytics - Architect scalable, secure, and cost-efficient cloud solutions aligned with business objectives - Collaborate with data engineers, data scientists, and business stakehol...

Role Overview: As a Manager, Technology - Data, Analytics & AI at Williams-Sonoma India Pvt. Ltd., you will own the health, performance, and growth of a multidisciplinary Data, Analytics & AI domains and Engineering team consisting of Data/BI/ML Engineers and Analysts. Your role involves creating the conditions for sustainable high performance by providing clear direction, fostering strong collaboration, and facilitating career development. You will enable the team to transform business problems into robust solutions and actionable insights while enhancing practices, processes, and talent. Key Responsibilities: - Manage, coach, and develop a high-performing team through activities such as hi...

As a Senior Microsoft Fabric with PowerBI Development professional, your role will involve the following responsibilities: - Familiarity with Microsoft Fabric and PowerBI development. - Experience with Azure function apps using Python and Data Factory. - Strong skills as an MSSQL developer with expertise in T-SQL, data modelling, and performance tuning. - Effective communication skills and experience working directly with client teams. - Proficiency in working in an agile environment. - Hands-on experience in the required technical skill areas. - Ability to be self-organized and work independently with minimum supervision. - Collaborative work approach with client and vendor teams. Qualifica...

You are a Senior level person with expertise in Microsoft Fabric and PowerBI development. Your role will involve working with Azure function apps using Python, and Data Factory. While production level DBA experience is not required, you must be a proficient MSSQL developer with skills in T-SQL, data modelling, and performance tuning. Your communication skills are essential as you will be working directly with client teams. Experience in an agile environment is a plus, and hands-on experience in the required technical skill areas is expected. You should be self-organized and capable of working independently with minimum supervision, while also collaborating effectively with client and vendor ...

As a Staff Software Engineer at the leading IT product-based company, you will be based in either Gurgaon or Pune, leveraging your minimum 8 years of experience in the field. You should hold a Bachelor's degree in Computer Science or equivalent, with expertise in .Net, ASP.Net, .Net Core, Angular, SQL Server, Azure Devops, and CI/CD. Proficiency in developing software in an Agile environment and familiarity with Microsoft Azure technologies like App Service, Function App, and Data Factory are essential. Key Responsibilities: - Utilize your technical skills in .Net, ASP.Net, .Net Core, Angular, SQL Server, Azure Devops, and CI/CD - Develop software in an Agile environment and work with Micros...

Role & responsibilities Must-Have Skills: Azure Databricks (Advanced) Data Factory PySpark Python Preferred candidate profile Minimum 4 years of relevant experience Strong expertise in: SQLDB (writing complex stored procedures) Synapse Azure Analysis Services Mandatory Certifications: DP-203 (Azure Data Engineer Associate) Databricks Certified Data Engineer Professional (Architect / Managerial level) Strong troubleshooting and debugging skills Hands-on experience with GIT / Azure DevOps, build & release pipelines Proven ability to write complex PySpark queries for data analysis Open Roles: Senior Associate / Manager

You will be responsible for owning and overseeing the Data & Analytics pillar of the FinCrime Platform at EY as a FinCrime Data Owner. Your participation in the FinCrime Steering Committee (SteerCo) is crucial for ensuring the effective use of data analytics to drive business insights and support decision-making processes. It will be your responsibility to manage data governance, quality, and reporting to ensure that data is accurate, accessible, and utilized effectively across the organization. - Develop and implement a comprehensive data strategy aligned with the FinCrime Platform goals and objectives. - Identify opportunities for leveraging data analytics to enhance business performance a...

Role Overview: You will be responsible for developing and deploying advanced data structures, indexing tactics, and partitioning frameworks within Azure Cosmos DB. Additionally, you will lead the integration of Cosmos DB with modern digital platforms and build and maintain secure RESTful APIs and serverless functions using Azure Functions and Logic Apps. Your role will involve designing and implementing real-time data pipelines and event-driven architectures, optimizing database performance, collaborating with cross-functional teams, mentoring junior developers, ensuring compliance with data governance standards, and staying updated on Azure and Cosmos DB updates. Key Responsibilities: - Dev...

You will be joining a global IT services company that specializes in digital engineering and IT services, headquartered in Southborough, Massachusetts, USA. Our client has a revenue of $1.8B and over 35,000 associates worldwide. They focus on modernizing technology infrastructure, adopting cloud and AI solutions, and accelerating innovation for clients in banking, healthcare, telecom, and media industries. Operating in over 50 locations across more than 25 countries, with delivery centers in Asia, Europe, and North America, our client is known for combining industry expertise with agile development practices. As a Microsoft Fabric professional, your key responsibilities will include: - Being...

Lead the development of Power BI dashboards at well, pad, and regional levels. Establish data models (star schema, incremental refresh) Integrate Azure SQL datasets with Power BI, Implement AI-driven journal summarization using Azure OpenAI.

About the role : Gartner is looking for a well-rounded and driven leader to become a part of its Conferences Technology & Insight Analytics team, which is tasked with creating the reporting and analytics to support its Conference reporting operations. What youll do: Provide technical leadership and guidance to software development teams, guaranteeing alignment with project objectives and adherence to industry best practices. Leading and mentoring a team of software engineers, delegating responsibilities, offering support, and promoting a collaborative environment. Collaborate with business stakeholders, design, build advanced analytic solutions for Gartner Conference Technology Business. Exe...

We are seeking dynamic candidate for the role of Azure & Power BI Specialist to lead the development of Power BI dashboards.Establish data models (star schema, incremental refresh) for optimized reporting and Azure SQL datasets with Power BI Required Candidate profile 5–7 years in the Azure Data & BI ecosystem. Strong expertise in Power BI, DAX, and Azure SQL data modeling.Hands-on experience with Azure Synapse / Data Factory for data ingestion.

As an experienced AI Analytics Engineer with expertise in Azure DevOps, your role will involve designing, implementing, and optimizing data pipelines, machine learning models, and analytics solutions. You will be responsible for bridging the gap between data science, engineering, and DevOps practices to deliver scalable and production-ready AI/ML solutions. Key Responsibilities: - Design, develop, and deploy AI/ML models and analytics workflows. - Build and manage end-to-end CI/CD pipelines in Azure DevOps for data and ML projects. - Automate data ingestion, preprocessing, model training, testing, and deployment. - Monitor model performance and implement retraining pipelines. - Work closely ...

You will be responsible for designing and building ETL pipelines in Azure Databricks (PySpark, Delta Lake) to load, clean, and deliver data across Bronze, Silver, and Gold layers. Your role will also involve implementing Data Lakehouse Architecture on Azure Data Lake Gen2 with partitioning, schema management, and performance optimization. Additionally, you will need to develop data models (dimensional/star schema) for reporting in Synapse and Power BI. Integration of Databricks with Azure services like ADF, Key Vault, Event Hub, Synapse Analytics, Purview, and Logic Apps will be a part of your tasks. Building and managing CI/CD pipelines in Azure DevOps (YAML, Git repos, pipelines) will also...

Role Overview: In this role at Kimberly-Clark, you will play a pivotal part in designing and building analytics solutions to facilitate informed decision-making. Your primary responsibility will be to design, develop, and maintain analytics solutions working closely with various R&D and DTS technology teams. By leveraging your professional expertise and talent, you will contribute to delivering better care for billions of people worldwide. Key Responsibilities: - Collaborate with engineering and architecture teams to identify, collect, and harmonize data from various sources. - Design and develop ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) pipelines using technologies s...

Are you passionate about driving technical excellence, quality, and governance across a global enterprise integration landscape? Do you have strong leadership and problem-solving skills, combined with hands-on expertise in Microsoft Azure Integration Services? If yes, this role could be the perfect next step in your career. We are looking for an experienced Technical Lead Azure Integration to guide and oversee the delivery of integration solutions across multiple vendors and teams. You will play a key role in ensuring adherence to best practices, enforcing technical governance, and resolving complex integration challenges. Key Responsibilities Provide technical oversight and governance for i...

As a Data Engineer at Microsoft Fabric, you will be responsible for designing, developing, and optimizing data pipelines, reporting solutions, and analytics frameworks using Microsoft Fabric. Your role will involve collaborating with stakeholders and technical teams to deliver scalable, secure, and high-performing analytics solutions. You will work closely with data architects, analysts, and business stakeholders to gather analytics requirements and build data solutions using Microsoft Fabric components such as Data Factory, OneLake, Synapse, and Power BI. Your responsibilities will include developing and optimizing pipelines for ingestion, transformation, and integration, as well as creatin...

As a Manager, Technology specializing in Data, Analytics & AI, you will be responsible for overseeing the health, performance, and growth of a diverse team of Data/BI/ML Engineers and Analysts. Your primary objective will be to create an environment conducive to sustainable high performance by providing clear direction, fostering collaboration, and supporting career development within the team. Your key responsibilities will include managing, coaching, and developing the team, in addition to collaborating with Tech Leadership, Product, and Business stakeholders to translate requirements into scalable data models, pipelines, semantic layers, and dashboards. You will also play a crucial role i...