30 Azure Adf Jobs - Page 2

Roles & Responsibilities: Resource must have 5+ years of hands on experience in Azure Cloud development (ADF + DataBricks) - mandatory Strong in Azure SQL and good to have knowledge on Synapse / Analytics Experience in working on Agile Project and familiar with Scrum/SAFe ceremonies. Good communication skills - Written & Verbal Can work directly with customer Ready to work in 2nd shift Good in communication and flexible Defines, designs, develops and test software components/applications using Microsoft Azure- Data-bricks, ADF, ADL, Hive, Python, Data bricks, SparkSql, PySpark. Expertise in Azure Data Bricks, ADF, ADL, Hive, Python, Spark, PySpark Strong T-SQL skills with experience in Azure SQL DW Experience handling Structured and unstructured datasets Experience in Data Modeling and Advanced SQL techniques Experience implementing Azure Data Factory Pipelines using latest technologies and techniques. Good exposure in Application Development. The candidate should work independently with minimal supervision

JOB DESCRIPTION We are looking for a highly skilled API & Pixel Tracking Integration Engineer to lead the development and deployment of server- side tracking and attribution solutions across multiple platforms. The ideal candidate brings deep expertise in CAPI integrations (Meta, Google, and other platforms), secure data handling using cryptographic techniques, and experience working within privacy- first environments like Azure Clean Rooms . This role requires strong hands-on experience in C# development, Azure cloud services, OCI (Oracle Cloud Infrastructure) , and marketing technology stacks including Adobe Tag Management and Pixel Management . You will work closely with engineering, analytics, and marketing teams to deliver scalable, compliant, and secure data tracking solutions that drive business insights and performance. Key Responsibilities: Design, implement, and maintain CAPI integrations across Meta, Google, and all major platforms , ensuring real-time and accurate server-side event tracking. Utilize Fabric and OCI environments as needed for data integration and marketing intelligence workflows. Develop and manage custom tracking solutions leveraging Azure Clean Rooms , ensuring user NFAs are respected and privacy-compliant logic is implemented. Implement cryptographic hashing (e.g., SHA-256) Use Azure Data Lake Gen1 & Gen2 (ADLS) , Cosmos DB , and Azure Functions to build and host scalable backend systems. Integrate with Azure Key Vaults to securely manage secrets and sensitive credentials. Design and execute data pipelines in Azure Data Factory (ADF) for processing and transforming tracking data. Lead pixel and tag management initiatives using Adobe Tag Manager , including pixel governance and QA across properties. Collaborate with security teams to ensure all data-sharing and processing complies with Azures data security standards and enterprise privacy frameworks. Monitor, troubleshoot, and optimize existing integrations using logs, diagnostics, and analytics tools. EXPERTISE AND QUALIFICATIONS Required Skills: Strong hands-on experience with Fabric and building scalable APIs. Experience in implementing Meta CAPI , Google Enhanced Conversions , and other platform-specific server-side tracking APIs. Knowledge of Azure Clean Rooms , with experience developing custom logic and code for clean data collaborations . Proficiency with Azure Cloud technologies , especially Cosmos DB, Azure Functions, ADF, Key Vault, ADLS , and Azure security best practices . Familiarity with OCI for hybrid-cloud integration scenarios. Understanding of cryptography and secure data handling (e.g., hashing email addresses with SHA-256). Experience with Adobe Tag Management , specifically in pixel governance and lifecycle. Proven ability to collaborate across functions, especially with marketing and analytics teams. Soft Skills: Strong communication skills to explain technical concepts to non-technical stakeholders. Proven ability to collaborate across teams, especially with marketing, product, and data analytics. Adaptable and proactive in learning and applying evolving technologies and regulatory changes .

Consultant - Software Engineer (with C#) JOB DESCRIPTION: We are looking for a highly skilled API & Pixel Tracking Integration Engineer to lead the development and deployment of server- side tracking and attribution solutions across multiple platforms. The ideal candidate brings deep expertise in CAPI integrations (Meta, Google, and other platforms), secure data handling using cryptographic techniques, and experience working within privacy- first environments like Azure Clean Rooms . This role requires strong hands-on experience in C# development, Azure cloud services, OCI (Oracle Cloud Infrastructure) , and marketing technology stacks including Adobe Tag Management and Pixel Management . You will work closely with engineering, analytics, and marketing teams to deliver scalable, compliant, and secure data tracking solutions that drive business insights and performance. Key Responsibilities: Design, implement, and maintain CAPI integrations across Meta, Google, and all major platforms , ensuring real-time and accurate server-side event tracking. Develop and manage custom tracking solutions leveraging Azure Clean Rooms , ensuring user NFAs are respected and privacy-compliant logic is implemented. Architect and develop secure REST APIs in C# to support advanced attribution models and marketing analytics pipelines. Implement cryptographic hashing (e.g., SHA-256) Use Azure Data Lake Gen1 & Gen2 (ADLS) , Cosmos DB , and Azure Functions to build and host scalable backend systems. Integrate with Azure Key Vaults to securely manage secrets and sensitive credentials. Design and execute data pipelines in Azure Data Factory (ADF) for processing and transforming tracking data. Lead pixel and tag management initiatives using Adobe Tag Manager , including pixel governance and QA across properties. Collaborate with security teams to ensure all data-sharing and processing complies with Azures data security standards and enterprise privacy frameworks. Utilize Fabric and OCI environments as needed for data integration and marketing intelligence workflows. Monitor, troubleshoot, and optimize existing integrations using logs, diagnostics, and analytics tools. EXPERTISE AND QUALIFICATIONS Required Skills: Strong hands-on experience with C# and building scalable APIs. Experience in implementing Meta CAPI , Google Enhanced Conversions , and other platform-specific server-side tracking APIs. Knowledge of Azure Clean Rooms , with experience developing custom logic and code for clean data collaborations . Proficiency with Azure Cloud technologies , especially Cosmos DB, Azure Functions, ADF, Key Vault, ADLS , and Azure security best practices . Familiarity with OCI for hybrid-cloud integration scenarios. Understanding of cryptography and secure data handling (e.g., hashing email addresses with SHA-256). Role & responsibilities

Develop ETL pipelines using SQL and C# and Python Performance Tuning, Design scalable DB architecture Maintain Technical documentation Required Candidate profile 5+ years in SQL T-SQL, performance tuning, developing ETL processes. Hands on C# and WPF will be a plus Experience in AWS and Azure is must

Key Skills: Azure ADF, Microsoft fabric, Azure Databricksm Power BI Roles and Responsibilities: Design and implement scalable BI and data architecture leveraging Microsoft Fabric, Lakehouse paradigms, and medallion architecture. Architect and optimize ETL/ELT pipelines using Azure Data Factory, SQL Server, Dataflows, and Fabric Pipelines. Integrate on-premises and cloud data sources using On-premises Data Gateway (ODG). Create and manage semantic data models to bridge technical structures and business terminology. Build, manage, and optimize Lakehouses, Data Warehouses, and data pipelines in Microsoft Fabric. Design robust Power BI dashboards using advanced DAX with real-time data connectivity. Implement data governance, security, and compliance frameworks using Microsoft Purview or Fabric-native tools. Lead initiatives for AI-enhanced BI development and delivery across the analytics ecosystem. Define and enforce data quality rules, transformation logic, and cleansing operations in collaboration with Data Engineers. Collaborate with stakeholders to translate business requirements into scalable technical architectures. Provide mentorship to BI developers, data engineers, and analysts, fostering a data-first culture. Drive enterprise-wide adoption of Microsoft Fabric and promote modern BI practices. Ensure end-to-end data lineage, quality, and availability across reporting and analytics layers. Document all architectural decisions, data models, workflows, and semantic layer specifications. Skills Required: Must-Have: Hands-on experience with Azure Data Factory (ADF) and Azure Databricks Expertise in Microsoft Fabric for building modern data platforms Deep understanding of data modeling, ELT/ETL design, and Lakehouse architecture Strong skills in Power BI, including DAX, real-time data, and custom visuals Knowledge of data governance, data security, and compliance tools like Microsoft Purview Nice-to-Have: Experience with AI-driven development within BI tools Knowledge of data virtualization principles Familiarity with DevOps practices for BI deployments Exposure to data mesh or data fabric architectural patterns Education: Bachelor's Degree in related field