2404 Azure Databricks Jobs - Page 14

About The Role Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Microsoft Azure Databricks Good to have skills : NA Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data qualit...

remote typeOn-site locationsBengaluru, KA time typeFull time posted onPosted 5 Days Ago job requisition idREQ408131 Data Engineer 2 JLL Technologies COE- Bangalore What this job involves About the role #JLLTechAmbitions Azure Data Engineer for implementation of HR Datawarehouse project. Sounds like you? To apply you need to be Experience & Education 4+ years of overall experience in building data systems, of which 2+ years minimum in Azure Databricks. Excellent understanding of SQL and ability to write complex SQL queries in a performant way. Good understanding of Datawarehouse concepts; experience working with a dimensional model is a plus. Excellent hands-on knowledge in writing structured...

What this job involves: JLL, an international real estate management company, is seeking an Data Engineer to join our JLL Technologies Team. We are seeking candidates that are self-starters to work in a diverse and fast-paced environment that can join our Enterprise Data team. We are looking for a candidate that is responsible for designing and developing of data solutions that are strategic for the business using the latest technologies Azure Databricks, Python, PySpark, SparkSQL, Azure functions, Delta Lake, Azure DevOps CI/CD. Responsibilities Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed b...

What this job involves: JLL, an international real estate management company, is seeking an Data Engineer to join our JLL Technologies Team. We are seeking candidates that are self-starters to work in a diverse and fast-paced environment that can join our Enterprise Data team. We are looking for a candidate that is responsible for designing and developing of data solutions that are strategic for the business using the latest technologies Azure Databricks, Python, PySpark, SparkSQL, Azure functions, Delta Lake, Azure DevOps CI/CD. Responsibilities Design, Architect, and Develop solutions leveraging cloud big data technology to ingest, process and analyze large, disparate data sets to exceed b...

Job Description: Build and deploy machine learning models and AI solutions using Azure AI services. Work with Python, PySpark, and Azure Databricks/Synapse for data analysis and modeling. Use Microsoft Data Fabric to connect and manage enterprise data. Proficiency in Python (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch). Experience with Spark (PySpark/Scala) and Azure data services (Data Lake, Synapse, Databricks, Azure ML). Azure-certified skills Microsoft Certified: Azure Data Scientist Associate (DP-100), demonstrating expertise in designing, training, deploying, and managing ML solutions on Azure Comprehensive ML lifecycle experience: data exploration, preprocessing, experimentation, ...

Job Summary As a Data Engineer , you will be responsible for designing, building, and maintaining the infrastructure and tools that enable the organization to collect, store, and analyze large volumes of data. You will work closely with data scientists, analysts, and other engineers to ensure that our data systems are reliable, efficient, and scalable. Key Responsibilities: Data Pipeline Development: Design, develop, and maintain scalable and reliable data pipelines to process large datasets from various sources. Data Modeling: Collaborate with data scientists and analysts to design and implement data models that support their analytical needs. ETL Processes: Build and optimize Extract, Tran...

This role is accountable for running day to day operations of Data Platform in Azure / AWS Databricks NCS. Data Engineer is accountable for ongoing Development, Enhancement support and maintenance data availability and data quality, performance enhancement and stability of the system. Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks Ensure data pipelines run smoothly and efficiently Adherence to security, regulatory and audit control guidelines Drive optimization, continuous improvement and efficiency Roles and Responsibilities 1 Designing and implementing data ingestion pipelines from multiple sources using Azure Databricks 2 Ensure data pipel...

Responsibilities: Design and deliver training programs for Azure technologies. Collaborate with stakeholders on learning needs analysis. Ensure knowledge transfer through interactive sessions. Design & Solution Architecture/ Architecture Enablement Food allowance Health insurance Provident fund Annual bonus

Experience Required: 10+Years Mode of work: Remote Skills Required: Azure DataBricks, Kafka, Architecture, Azure Data Factory, Pyspark, Python, SQL, Spark, Databricks Lakehouse Platform Notice Period : Immediate Joiners/ Permanent/Contract role (Can join within 29th September 2025) Key Responsibilities Translate business rules into technical specifications and implement scalable data solutions. Manage a team of Data Engineers and oversee deliverables across multiple markets . Apply performance optimization techniques in Databricks to handle large-scale datasets. Collaborate with the Data Science team to prepare datasets for AI/ML model training. Partner with the BI team to understand reporti...

Job Title : Sr. Data Engineer Ontology & Knowledge Graph Specialist Department : Platform Engineering Summary : We are seeking a highly skilled Data Engineer with expertise in ontology development and knowledge graph implementation. This role will be pivotal in shaping our data infrastructure and ensuring the accurate representation and integration of complex data sets. You will leverage industry best practices, including the Basic Formal Ontology (BFO) and Common Core Ontologies (CCO), to design, develop, and maintain ontologies, semantic and syntactic data models, and knowledge graphs on the Databricks Data Intelligence Platform that drive data-driven decision-making and innovation within ...

The Azure Data Bricks Engineer plays a critical role in establishing and maintaining an efficient data ecosystem within an organization. This position is integral to the development of data solutions leveraging the capabilities of Microsoft Azure Data Bricks. The engineer will work closely with data scientists and analytics teams to facilitate the transformation of raw data into actionable insights. With increasing reliance on big data technologies and cloud-based solutions, having an expert on board is vital for driving data-driven decision-making processes. The Azure Data Bricks Engineer will also be responsible for optimizing data workflows, ensuring data quality, and deploying scalable d...

Role & responsibilities Architect and design end-to-end data solutions on Azure, with a focus on Databricks. Lead data architecture initiatives, ensuring alignment with best practices and business objectives. Collaborate with stakeholders to define data strategies, architectures, and roadmaps. Migrate and transform data from Oracle to Azure Data Lake. Ensure data solutions are secure, reliable, and scalable. Provide technical leadership and mentorship to junior team members. Preferred candidate profile Extensive experience with Azure Data Services, including Azure Data Factory, Azure SQL Data Warehouse. Deep expertise in Databricks, including Spark, Delta Lake. Strong understanding of data a...

The Azure Data Bricks Engineer plays a critical role in establishing and maintaining an efficient data ecosystem within an organization. This position is integral to the development of data solutions leveraging the capabilities of Microsoft Azure Data Bricks. The engineer will work closely with data scientists and analytics teams to facilitate the transformation of raw data into actionable insights. With increasing reliance on big data technologies and cloud-based solutions, having an expert on board is vital for driving data-driven decision-making processes. The Azure Data Bricks Engineer will also be responsible for optimizing data workflows, ensuring data quality, and deploying scalable d...

About the job : Role : Microsoft Fabric Data Engineer Experience : 6+ years as Azure Data Engineer including at least 1 E2E Implementation in Microsoft Fabric. Responsibilities : - Lead the design and implementation of Microsoft Fabric-centric data platforms and data warehouses. - Develop and optimize ETL/ELT processes within the Microsoft Azure ecosystem, effectively utilizing relevant Fabric solutions. - Ensure data integrity, quality, and governance throughout Microsoft Fabric environment. - Collaborate with stakeholders to translate business needs into actionable data solutions. - Troubleshoot and optimize existing Fabric implementations for enhanced performance. Skills : - Solid foundat...

Sr.Azure Data Engineer (8-12 yrs) Hyd/Blr/Pan India | UK Shift Azure Databricks Engineer (6-12 yrs) Skills:Azure, ADF, Databricks, Python, PySpark, Kafka, SQL, AKS, Delta Lake

Sr.Azure Data Engineer (8-12 yrs) Hyd/Blr/Pan India | UK Shift Azure Databricks Engineer (6-12 yrs) Skills:Azure, ADF, Databricks, Python, PySpark, Kafka, SQL, AKS, Delta Lake

Sr.Azure Data Engineer (8-12 yrs) Hyd/Blr/Pan India | UK Shift Azure Databricks Engineer (6-12 yrs) Skills:Azure, ADF, Databricks, Python, PySpark, Kafka, SQL, AKS, Delta Lake

Sr.Azure Data Engineer (8-12 yrs) Hyd/Blr/Pan India | UK Shift Azure Databricks Engineer (6-12 yrs) Skills:Azure, ADF, Databricks, Python, PySpark, Kafka, SQL, AKS, Delta Lake

Sr.Azure Data Engineer (8-12 yrs) Hyd/Blr/Pan India | UK Shift Azure Databricks Engineer (6-12 yrs) Skills:Azure, ADF, Databricks, Python, PySpark, Kafka, SQL, AKS, Delta Lake

Job Responsibilities Lead a team of Data Engineers and Senior Data Engineers, providing technical guidance and mentorship. Design, develop, and maintain scalable ETL pipelines using Azure Services. Process, transform, and load large datasets into AWS Datalake or other data stores. Collaborate with cross-functional teams including data architects, analysts, and business stakeholders to gather requirements and deliver efficient data solutions. Implement and maintain data pipelines for ingestion, processing, and transformation in Azure. Work closely with data scientists and analysts to understand data needs and create effective workflows. Create and manage data storage solutions such as Azure S...

Role Purpose The purpose of the role is to support process delivery by ensuring daily performance of the Production Specialists, resolve technical escalations and develop technical capability within the Production Specialists. Do Oversee and support process by reviewing daily transactions on performance parameters Review performance dashboard and the scores for the team Support the team in improving performance parameters by providing technical support and process guidance Record, track, and document all queries received, problem-solving steps taken and total successful and unsuccessful resolutions Ensure standard processes and procedures are followed to resolve all client queries Resolve cl...

Key Responsibilities Design scalable ETL/ELT data pipelines using Azure Data Factory, Synapse Pipelines, and Databricks. Develop data ingestion workflows for structured and semi-structured data sources, including IoT streams and batch files. Define and enforce data modeling standards for the raw, curated, and semantic layers in ADLS Gen2. Create PySpark jobs and reusable transformation frameworks for cleansing, validation, and enrichment. Oversee data partitioning, versioning, and metadata strategies to ensure high performance and maintainability. Coordinate with ML engineers to support feature engineering pipelines and training datasets. Mentor data engineers, conduct code reviews, and enfo...

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation. At YASH, you are part of a dynamic team of talented individuals working with cutting-edge technologies. Our purpose is to bring about real positive changes in an increasingly virtual world, transcending generational gaps and disruptions of the future. We are currently seeking .NET C# Professionals with expertise in the following areas: We are looking for a proactive and experienced Full Stack Developer with a focus on developing cloud-native applications within t...

The role involves designing and developing scalable BI and Data Warehouse (DWH) solutions, leveraging tools like Power BI, Tableau, and Azure Databricks. Responsibilities include overseeing ETL processes using SSIS, creating efficient data models, and writing complex SQL queries for data transformation. You will design interactive dashboards and reports, working closely with stakeholders to translate requirements into actionable insights. The role requires expertise in performance optimization, data quality, and governance. It includes mentoring junior developers and leveraging Python for data analysis (Pandas, NumPy, PySpark) and scripting ETL workflows with tools like Airflow. Experience w...

You are seeking a Senior Oracle EBS & Cloud ERP Analytics Solution Architect with over 8 years of experience. You should have a strong background in Data Modeling, Designing Warehousing & Analytics solutions using Oracle (OAC/OBIEE, etc.) or Azure (Synapse, Databricks & Power BI) Analytics Solution. As an Architect, you will work with data sourced from Oracle Fusion ERP and/or Oracle e-Business Suite. Your role will require excellent communication skills and experience in customer & Business user interaction. You will be responsible for understanding data flows, Reporting & Analytics, and collaborating with inter-department teams to deliver high-quality solutions.,