1382 Azure Synapse Jobs - Page 13

Experienced Azure Data Engineer Tech Lead ( Tech Lead ) with 7 to 10 years of expertise Design, develop, and maintain robust data pipelines using Azure Databricks, Azure Data Factory,Pyspark / Python, Azure Data Lake Gen2, and Azure SQL Database. Integrate and manage data from various source systems, ensuring data quality and consistency. Mandatory Skills :Azure Databrick + Pyspark + Azure Data Facory + SQL +CICD + Strong Coding skills.

Description: We are seeking a highly skilled and experienced Azure Platform Engineer to lead the design, implement and maintain azure data platform. The ideal candidate will have a deep understanding of Azure data services such as Azure Databricks, ADF, ADLS Gen2, Azure SQL, Azure Synapse, Azure VMs, Azure App Services, Azure Functions. Youll collaborate with cross-functional teams to ensure the scalability, reliability, and performance of our analytics and data solutions. Must have solid experience in terraform based provisioning, Building automations and reports using Pyspark, Powershell and Python Roles Responsibilities:Experience on Schema, delta/parquet tables on UC, Spark configuration...

RoleAdvanced Data Engineer , LocationHyderabad Hire TypeFulltime Tech Stack: Proficiency in Python, SQL, Databricks, Snowflake Data Modeling, ETL process, Apache Spark and PySpark, data integration and workflow orchestration, real time data processing experience/frameworks, Cloud experience (Azure preferred) About The Role Minimum 5 years of experience in Data Engineering role that involves Analyzing, organizing raw data, and building data systems & pipelines in Cloud Platform [Azure] Experienced in migrating data from on-prem to cloud-based solution architectures [Azure] Extensive experience with Python, Spark and SQL Experience in developing ETL processes. Proficient with Azure Data Lake, ...

Shift: 24x7 Shift Job Requirement: Primary Skills Azure Data Factory, Azure Synapse Analytics, Azure Databricks: Extensive experience in building and managing scalable data pipelines for data integration, transformation, and analysis.Azure Data Lake Storage, Azure SQL Database: Proven ability to manage and optimize data storage solutions, ensuring data accessibility and reliability. Azure Machine Learning: Expertise in developing, training, and deploying machine learning models using Azure's machine learning tools and services. Data Warehousing & Data Modeling: Strong experience with designing and maintaining data warehouses, with deep understanding of ETL processes and data models. Programm...

Domain Experience: Retail Media Campaign data Analytics Roles and Responsibilities : Design and develop scalable ETL pipelines using Azure Databricks, PySpark, and Azure Data Factory to ingest, transform, and integrate data from multiple internal and external sources. Ensure data quality, consistency, and reliability across complex data workflows and large-scale datasets. Collaborate with data architects, analysts, and business stakeholders to understand data requirements and deliver efficient data solutions. Optimize data processing performance and implement best practices for data engineering in cloud environments. Work in Agile development environments, contributing to sprint planning, re...

Position Summary The Solutions Architect for the Data & Analytics (D&A) portfolio will lead the design, development, and governance of scalable, high-performance data solutions that empower business insights and decision-making. This role will serve as the bridge between business stakeholders, data engineers, platform teams, and enterprise architects to ensure that data-driven systems align with Prologis' technology strategy and D&A roadmap. The architect will also play a strategic role in leveraging emerging technologies such as Generative AI (GenAI) to accelerate modernization and data value realization across the enterprise. Key Responsibilities 1. Solution Architecture & Design Develop e...

JD- Role- Data Engineer (Azure-ETL) Mandatory Skills- ADF/ADB/Snowflake/Data Migration, Data Modelling Good to have skills- Snowflake Years of experience required- 8-10 Yrs Client Interview required?- Yes Shift Timings- until 12 PM EST Details- Design, implement, and maintain data pipelines for data ingestion, processing, and transformation in Azure. Work together with analysts to understand the needs for data and create effective data workflows. Create and maintain data storage solutions including Azure SQL Database, Azure Data Lake, and Azure Blob Storage. Utilizing Azure Data Factory or comparable technologies, create and maintain ETL (Extract, Transform, Load) operations. Implementing da...

As a Profisee MDM Architect/Administrator at Cushman & Wakefield, your primary role will be to lead the implementation and governance of scalable, secure, and high-performing master data management solutions across the enterprise. Reporting directly to the Director of Data Engineering & Analytics, your responsibilities will include modernizing the data platform, guiding the adoption of emerging technologies, and ensuring alignment with organizational goals and compliance standards. **Key Responsibilities:** - Lead the architecture, implementation, and administration of Profisee MDM within a modern, cloud-native, and on-prem data ecosystem. - Design and maintain MDM data models, domains, hier...

As a Carbon Emissions Reporting Specialist for Travel Meetings and Events (TME) Data & Analytics team at EY, you will play a crucial role in ensuring accurate reporting of carbon emissions related to TME activities and enhancing visibility and transparency of timely data. You will collaborate with various stakeholders to monitor progress and report on TME related scope 3 emissions impact. **Key Responsibilities:** - Creating reports and visualizations: You will be responsible for creating reports, visualizations, and other data-driven presentations that effectively communicate insights to stakeholders. - Providing insights and recommendations: Use data analysis to provide insights and recomm...

Role & responsibilities Years of Experience: 6 to 10yrs Location: Bangalore & Hyderabad Notice Period: 0 to 60 days Date of Interview : 5th, 6th, 7th, 8th Nov, 2025 Kindly apply if there is a skill match with 6+yrs of experience. Job Description: Overall 6+ years of work experience in Data Warehouse(DWH) Development Experience in AzureDatabricks, Pyspark, Python , SQL Hands on exp in Azure data factory, data bricks Design, implement, and manage data solutions on Azure Develop and maintain data pipelines using Databricks Ensure efficient data storage and retrieval using Azure Storage and Data Lake Automate infrastructure and application deployments with Ansible Write clean, maintainable code ...

Azure Data Engineer / Technical Lead Location : Pan India, On site Department : CBG Data & Analytics Who you are : We're looking for a seasoned and hands on Azure Data Engineer for our cloud data platform. You'll be the driving force behind our Azure-based data ecosystem, taking full ownership of its architecture, design, and implementation. This role requires a leader who can define a clear vision for our data infrastructure, establish robust coding and deployment best practices, and ensure our solutions are scalable, secure, and cost-effective. If you're passionate about building state-of-the-art data solutions on Azure, this is the role for you. Key Responsibilities Architect & Design: Le...

Role Overview: We are seeking an experienced Azure Machine Learning Specialist to lead the design and deployment of advanced predictive models for a leading UK university. The role focuses on developing high-accuracy student number forecasting systems using Azure ML, Python, and Databricks, integrating multiple data sources into automated, scalable pipelines. Candidate will collaborate with the Data & Analytics and Planning teams to build, train, and validate models in line with the universitys data governance and security standards. Key Responsibilities: 1. Data Analysis and Model Development Conduct detailed audits of CRM, application, and enrolment datasets in Azure to assess data quality...

As an Azure Databricks Data Engineer, you will play a crucial role in designing, developing, and optimizing data solutions on Azure. Your expertise in Azure Data Factory, Databricks, SQL, Python, and SAP-IS Auto will be highly valuable for the successful execution of various projects. Your key responsibilities will include: - Data Modelling, systematic layer modelling, and ETL/ELT pipeline development - Integration of SAP-IS Auto, Database Management, Big Data Processing, and collaboration with different teams To excel in this role, you must possess the following qualifications: - Azure cloud expertise, particularly in Azure Data Factory, Databricks, and Azure Synapse - Proficiency in Python...

As a BI Data Engineer at Dentsu, your role within the Enterprise Data team will be pivotal in driving the organization towards becoming a fully digital entity. You will be responsible for building and implementing cutting-edge business analytics solutions using Azure data engineering tools and cloud-based databases. Your expertise in data engineering, ADF Integration, and database development will be crucial in delivering high-quality technical solutions that align with the company's business objectives. **Key Responsibilities:** - Build Enterprise data engineering and Integration solutions utilizing Azure Data Factory, Azure SQL Database, Azure Synapse, and Azure Fabric. - Develop enterpris...

Role Overview: At Intellectyx, as the Director of Engineering, you will be responsible for leading the architecture, development, and scaling of the digital and AI-native product ecosystem. Your role will involve aligning technical excellence with strategic vision to drive innovation, operational excellence, and delivery efficiency across distributed teams. Key Responsibilities: - Define and implement the engineering strategy and roadmap across digital, AI, and data domains. - Translate product vision into scalable, modular, and secure architectures. - Lead, mentor, and scale globally distributed engineering teams. - Foster a culture of engineering excellence, innovation, and accountability....

As a Data Warehouse Developer at our company, you will play a crucial role in designing, developing, and maintaining robust and scalable data warehouse and reporting solutions. Your responsibilities will include ensuring data quality, building efficient ETL pipelines, converting legacy reports, and delivering actionable insights through advanced data visualization tools. Key Responsibilities: - Develop Power BI solutions based on high-level technical and business requirements. - Perform quality assurance checks on new Power BI project functionality and business requirements. - Produce documentation for written code. - Configure real-time replication of data from source systems to the Data Wa...

You will play a pivotal role in thedevelopment and maintenance of interactive client, investor and operational team facing dashboards using Tableau, Power BI and other visual analytics tools. You will work closely with clients and senior stakeholders to capture their BI requirements, conduct data analysis using SQL, Python (orother open-source languages), and visualise the insights in an impactful manner. What you'll do You'll demonstrate expert-level proficiency in Analytics and BI, applying advanced knowledge of conceptual and physical BI implementations, dimensional data modeling, and real-time analytics solutions across various platforms. You'll interact confidently with external clients...

About The Role Project Role : Software Development Engineer Project Role Description : Analyze, design, code and test multiple components of application code across one or more clients. Perform maintenance, enhancements and/or development work. Must have skills : Microsoft Azure Data Services Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Software Development Engineer, you will engage in a dynamic work environment where you will analyze, design, code, and test various components of application code across multiple clients. Your day will involve collaborating with team members to ensure the successful...

Key Responsibilities: The ideal candidate will have strong expertise in Snowflake, Hadoop ecosystem, PySpark, and SQL, and will play a key role in enabling data-driven decision-making across the organization. Design, develop, and optimize robust data pipelines using PySpark and SQL. • Implement and manage data warehousing solutions using Snowflake. Work with large-scale data processing frameworks within the Hadoop ecosystem. Collaborate with data scientists, analysts, and business stakeholders to understand data requirements. Ensure data quality, integrity, and governance across all data platforms. Monitor and troubleshoot data pipeline performance and reliability. Automate data workflows an...

Design and lead end-to-end BI architecture and solutioning on Azure, including transition from legacy platforms (e.g., Oracle GDW, Informatica, QlikView, SAP BO).

Job Description Summary Cushman & Wakefield is seeking a motivated Azure Data Engineer to join the Data Engineering & Analytics team. In this early-career role, you will support the design, development, and optimization of data pipelines on Azure to drive key business initiatives. Working under the guidance of senior engineers and architects, youll gain hands-on experience with modern data tools while contributing to high-impact, enterprise-scale projects. This is an excellent opportunity for professionals eager to grow their skills in a collaborative, client-centric environment that values innovation and data-driven decision-making. Job Description About The Role: Design, develop, and manag...

Job Description: AWS/Azure/SAP ETL Data Modelling Data Integration & Ingestion Data Manipulation and Processing GITHUB, Action , Azure DevOps Data factory, Databricks, SQL DB, Synapse, Stream Analytics, Glue, Airflow, Kinesis, Redshift, SonarQube, PyTest

Dear, Greetings from Tekskills India Pvt Ltd (CMMI Level3 Company) !!! Pleasure mailing you ! We have an immediate job requirement. Below are the job details, Please go through below job description. If you are suitable and interested, please send your updated word resume inline to the JD & share the below submission details. Please Share the Below Details: Passport Size Photo : Offer letter/ Relieving letter screenshot/ LWD email screenshot: Total Experience: Relevant Experience: Current Location: Preferred Location: Current CTC: Expected CTC: Notice Period: DOB: Offers/ Pipelines: Job Title : Data Engineer Location : Pune Shift timings : 12.30PM to 9.30PM IST/ need to be adjust as per day ...

Role & responsibilities You should have worked on Dimensional modelling for 5yrs You should have worked on Data Architect AND Data Modelling AND Schema Overall 8+ years experience is required. You should have worked on Schema Modelling

Role & responsibilities Key Responsibilities Design and implement robust ETL/ELT pipelines using Azure Data Factory, SSIS, and Databricks. Integrate data from diverse sources including on-premises databases, cloud platforms, APIs, and flat files. Develop and optimize data models for Azure SQL Database, Synapse Analytics, and Data Lake Storage Gen2. Architect scalable and secure data storage solutions using Azure Blob Storage and Data Lake. Tune data workflows and clusters for performance, reliability, and cost-efficiency. Monitor and troubleshoot data pipelines using Azure Monitor and Log Analytics. Work closely with business teams to understand data requirements. Translate business needs in...