2404 Azure Databricks Jobs - Page 30

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the devel...

Role : MLOps Engineer Location - Coimbatore Mode of Interview - In Person Date - Scheduled Interview Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLO...

Role : MLOps Engineer Location - Bangalore Mode of Interview - In Person Date - Scheduled Interview Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOp...

Role : MLOps Engineer Location - Chennai Mode of Interview - In Person Date - Scheduled Interview Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOps ...

Role : MLOps Engineer Location - Hyderabad Mode of Interview - In Person Date - Scheduled Interview Key words -Skillset AWS SageMaker, Azure ML Studio, GCP Vertex AI PySpark, Azure Databricks MLFlow, KubeFlow, AirFlow, Github Actions, AWS CodePipeline Kubernetes, AKS, Terraform, Fast API Responsibilities Model Deployment, Model Monitoring, Model Retraining Deployment pipeline, Inference pipeline, Monitoring pipeline, Retraining pipeline Drift Detection, Data Drift, Model Drift Experiment Tracking MLOps Architecture REST API publishing Job Responsibilities: Research and implement MLOps tools, frameworks and platforms for our Data Science projects. Work on a backlog of activities to raise MLOp...

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...

As a Data Engineer in our team, you will be responsible for assessing complex new data sources and quickly turning these into business insights. You will also support the implementation and integration of these new data sources into our Azure Data platform. You are detailed in reviewing and analyzing structured, semi-structured, and unstructured data sources for quality, completeness, and business value. Your role involves designing, architecting, implementing, and testing rapid prototypes that demonstrate the value of the data and presenting them to diverse audiences. Additionally, you will participate in early-stage design and feature definition activities. Your responsibilities include im...

We are hiring a Senior Data Engineer skilled in SQL, Python, Azure Synapse, ADF, Databricks & Snowflake. Must excel in ETL pipelines, data modeling (ER, star schema, Kimball), query optimization & cloud data engineering. DevOps/streaming a plus

Skills ADF, Azure Data Lake , Databrick, PySpark, SQL, Python. Need Immediate Joiners Contact Tanisha -9899025091 tanisha.batra@wsneconsulting.com Vrinda-9625997927 Vrinda.sahni@wsneconsulting.com Ishita -92891 17976 ishita.sarkar@wsneconsulting.com

Skill required: Tech for Operations - Automation Anywhere Designation: App Automation Eng Specialist Qualifications: Any Graduation Years of Experience: 7 to 11 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do RPA Lead developer will be responsible for design & developmen...

Project Role : Data Platform Engineer Project Role Description : Assists with the data platform blueprint and 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 : Microsoft Power Business Intelligence (BI), Microsoft Azure DatabricksMinimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Platform Engineer, you will assist with the data platform blueprint and design, encompassing the relevant data platform compone...

We have job opening for Azure Databricks .

• Design, develop, and maintain robust data pipelines using Azure Databricks. • Implement ETL processes to extract, transform, and load data from various sources. • Document data architecture, processes, and systems.

3 - 5 years of analytics experience in Retail/CPG industry covering at least 2 of the below mentioned areas: Customer (insights/trends) Campaigns/CRM Loyalty Marketing To define, develop & support analytical solutions, along with extracting insights from data for improving business decisions of various retail functions (Ex. Marketing, Merchandising, Retail etc.) The recruit will be directly working with the on-shore Analytics team and with key business stakeholders of retail functions in each business unit to understand their business problems around merchandising and help deliver data-driven decision making. Analyze data o evaluate existing decisions framework and apply analytical technique...

Primary Responsibilities: Prepare detail design for the Solution by discussing with PO and business. Consult with Business, Subject Master Expert, users to evaluate business requirements, evaluate existing or proposed systems, and prepare detailed technical design document from which programs will be written Walk-thru the technical design document with Business/SME/QA group and support team Prepare test planning & setup test data. Execute test planning based on project requirements Ensuring timely deliveries for all assigned tasks Participation in Design reviews, Test Case reviews, and Production Support readiness reviews for new releases Support QA, UAT and Release phases of the project via...

Experience: 6 to 8 years in developing applications using Microsoft PowerApps. Power Platform Expertise: Strong understanding of PowerApps, Power Automate, and the Microsoft Power Platform. Integration Knowledge: Experience with SharePoint, SQL Server, and Common Data Service (CDS). Deployment creating and deploying solutions to different domains or within domain UI/UX Design: Proficient in designing user-friendly interfaces and workflows. Tools Microsoft PowerApps Power Automate SharePoint PCF SQL Server/Azure SQL Common Data Service (CDS) Microsoft 365 Tools Preferred Skills Programming Languages: Familiarity with any programming language like C#, .NET, java, JavaScript, TypeScript, HTML, ...

Architect and manage Databricks workspaces, clusters, and jobs for scalable data processing and ML workloads. Implement secure data lakehouse architectures with Delta Lake, Unity Catalog, and workspace isolation. Optimize performance and cost-efficiency of Databricks deployments across cloud providers. Implement centralized logging, monitoring, and alerting for Databricks and cloud resources. Ensure auditability and traceability of data access and transformations. Support governance frameworks with metadata management and data cataloging. Mandatory Competencies Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Data Science and Machine ...

We are seeking an experienced AI Lead with a minimum of 10 years of industry experience in the field of Artificial Intelligence. The ideal candidate will have a proven track record of successfully leading and delivering multiple projects in Machine Learning, Deep Learning, and Natural Language Processing (NLP). Additionally, they should possess sound knowledge in Generative AI and Large Language Models (LLMs). Responsibilities: Project Leadership: Lead end-to-end AI projects, from conception to delivery, ensuring alignment with business objectives and stakeholder requirements. Technical Expertise: Serve as a subject matter expert in AI, providing guidance and support to the team in the devel...

Project Role : Business Process Architect Project Role Description : Analyze and design new business processes to create the documentation that guides the implementation of new processes and technologies. Partner with the business to define product requirements and use cases to meet process and functional requirements. Participate in user and task analysis to represent business needs. Must have skills : Data Analytics, Data Warehouse ETL Testing, Hadoop Administration, Big Data Analysis Tool and Techniques Good to have skills : NAMinimum 7.5 year(s) of experience is required Educational Qualification : Specific undergraduate qualifications ie engineering computer science Summary :Experienced...

Role & responsibilities SQL Expertise Strong hands-on experience with DDL, DML, query optimization, and performance tuning . Programming Languages – Proficiency in Python or Java for data processing and automation. Data Modelling – Good understanding of entity-relationship modelling, star schema, and Kimball methodology . Cloud Data Engineering – Hands-on experience with Azure Synapse, Azure Data Factory, Azure Data Lake, Databricks and Snowflake ETL Development – Experience building scalable ETL/ELT pipelines and data ingestion workflows. Ability to learn and apply Snowflake concepts as needed. Communication Skills : Strong presentation and communication skills to engage both technical and ...

Job Overview: We are seeking an experienced Senior Developer with strong expertise in Python, Node.js, Azure, and a proven track record of migrating cloud applications from AWS to Azure. This role requires hands-on experience in PySpark, Databricks, and Azure data services such as ADF and Synapse Spark. The ideal candidate will lead end-to-end modernization and migration initiatives, code remediation, and deployment of serverless and microservices-based applications in Azure. Key Responsibilities: Lead the migration of Python and Node.js applications from AWS to Azure. Analyze legacy AWS architecture, source code, and cloud service dependencies to identify and implement code refactoring and ...

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure...

- Building and operationalizing large scale enterprise data solutions and applications using one or more of AZURE data and analytics services in combination with custom solutions - Azure Synapse/Azure SQL DWH, Azure Data Lake, Azure Blob Storage, Spark, HDInsights, Databricks, CosmosDB, EventHub/IOTHub. - Experience in migrating on-premise data warehouses to data platforms on AZURE cloud. - Designing and implementing data engineering, ingestion, and transformation functions - Azure Synapse or Azure SQL data warehouse - Spark on Azure is available in HD insights and data bricks - Good customer communication. - Good Analytical skill

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure...

Azure Data Factory: - Develop Azure Data Factory Objects - ADF pipeline, configuration, parameters, variables, Integration services runtime - Hands-on knowledge of ADF activities(such as Copy, SP, lkp etc) and DataFlows - ADF data Ingestion and Integration with other services Azure Databricks: - Experience in Big Data components such as Kafka, Spark SQL, Dataframes, HIVE DB etc implemented using Azure Data Bricks would be preferred. - Azure Databricks integration with other services - Read and write data in Azure Databricks - Best practices in Azure Databricks Synapse Analytics: - Import data into Azure Synapse Analytics with and without using PolyBase - Implement a Data Warehouse with Azure...