17 Notebooks Jobs

Role Overview: As a Senior Data Engineer at DATAECONOMY, you will be responsible for leading the end-to-end development of complex models for compliance and supervision. Your deep expertise in cloud-based infrastructure, ETL pipeline development, and financial domains will be crucial in creating robust, scalable, and efficient solutions. Key Responsibilities: - Lead the development of advanced models using AWS services such as EMR, Glue, and Glue Notebooks. - Design, build, and optimize scalable cloud infrastructure solutions with a minimum of 5 years of experience. - Create, manage, and optimize ETL pipelines using PySpark for large-scale data processing. - Build and maintain CI/CD pipeline...

As a Data Solutions Specialist at Quantiphi, you will be part of a global and diverse culture that values transparency, diversity, integrity, learning, and growth. We take pride in fostering an environment that encourages innovation and excellence, not only in your professional endeavors but also in your personal life. Key Responsibilities: - Utilize your 3+ years of hands-on experience to deliver data solutions that drive business outcomes. - Develop data pipelines using PySpark within Databricks implementations. - Work with Databricks Workspaces, Notebooks, Delta Lake, and APIs to streamline data processes. - Utilize your expertise in Python, Scala, and advanced SQL for effective data mani...

You are looking for a skilled and experienced Microsoft Fabric Engineer to join the data engineering team. Your main responsibilities will include designing, developing, and maintaining data solutions using Microsoft Fabric. This will involve working across key workloads such as Data Engineering, Data Factory, Data Science, Real-Time Analytics, and Power BI. In this role, you will need to have a deep understanding of Synapse Data Warehouse, OneLake, Notebooks, Lakehouse architecture, and Power BI integration within the Microsoft ecosystem. Some of your key responsibilities will include designing and implementing scalable and secure data solutions, building and maintaining Data Pipelines usin...

As a Training Program Developer specializing in Artificial Intelligence and Machine Learning, your primary responsibility will be to develop, design, and deliver comprehensive training programs on Generative AI, large language models (LLMs), Azure OpenAI, Azure AI, Machine Learning, and Deep Learning. You will be creating training materials such as presentations, hands-on labs, and documentation to support learning objectives. Conducting training sessions, workshops, and webinars for clients and internal teams to ensure a deep understanding of AI and ML concepts and their applications is a crucial part of your role. Your role will also involve staying updated with the latest advancements in ...

As a Training Program Developer specializing in AI and Machine Learning, your primary responsibilities will include: - Developing, designing, and delivering comprehensive training programs on Generative AI, large language models (LLMs), Azure OpenAI, Azure AI, Machine Learning, and Deep Learning. - Creating training materials such as presentations, hands-on labs, and documentation to support learning objectives. - Conducting training sessions, workshops, and webinars for clients and internal teams to ensure a deep understanding of AI and ML concepts and their practical applications. - Keeping abreast of the latest advancements in AI, ML, and Generative AI technologies to continuously enhance...

Job Description: JOB SUMMARY We are seeking an experienced Microsoft Fabric architect that brings technical expertise and architectural instincts to lead the design, development, and scalability of our secured enterprise-grade data ecosystem. This role is not a traditional BI/Data Engineering position we are looking for deep hands-on expertise in Fabric administration, CI/CD integration, and security/governance configuration in production environments. ESSENTIAL DUTIES Provide technical leadership on design and architectural decisions, data platform evolution and vendor/tool selection Leverage expertise in data Lakehouse on Microsoft Fabric, including optimal use of OneLake, Dataflows Gen2, ...

As an experienced professional with 4+ years in data engineering, you will be responsible for the following: - Strong proficiency in writing complex SQL queries, stored procedures, and performance tuning to ensure efficient data retrieval and manipulation. - Expertise in Azure Data Factory (ADF) for creating pipelines, data flows, and orchestrating data movement within the Azure environment. - Proficiency in SQL Server Integration Services (SSIS) for ETL processes, package creation, and deployment to facilitate seamless data integration. - Knowledge of Azure Synapse Analytics for data warehousing, distributed query execution, and integration with various Azure services. - Familiarity with Ju...

You are a highly skilled and strategic Data Architect with deep expertise in the Azure Data ecosystem. Your role will involve defining and driving the overall Azure-based data architecture strategy aligned with enterprise goals. You will architect and implement scalable data pipelines, data lakes, and data warehouses using Azure Data Lake, ADF, and Azure SQL/Synapse. Providing technical leadership on Azure Databricks for large-scale data processing and advanced analytics use cases is a crucial aspect of your responsibilities. Integrating AI/ML models into data pipelines and supporting the end-to-end ML lifecycle including training, deployment, and monitoring will be part of your day-to-day t...

Roles & Responsibilities: Tot - 6+ yrs Relevant required 4+ years of experience as lead developer with Datawarehouse, Big data and Hadoop implementation in Azure environment Participate in design and implementation of the analytics architecture. Experience in working on Hadoop Distribution, good understanding of core concepts and best practices Good experience in building/tuning Spark pipelines in Python/Java/Scala Good experience in writing complex Hive queries to drive business critical insights Understanding of Data Lake vs Data Warehousing concepts Experience with AWS Cloud, exposure to Lambda/EMR/Kinesis will be good to have

Roles & Responsibilities: Tot - 6+ yrs Relevant required 4+ years of experience as lead developer with Datawarehouse, Big data and Hadoop implementation in Azure environment Participate in design and implementation of the analytics architecture. Experience in working on Hadoop Distribution, good understanding of core concepts and best practices Good experience in building/tuning Spark pipelines in Python/Java/Scala Good experience in writing complex Hive queries to drive business critical insights Understanding of Data Lake vs Data Warehousing concepts Experience with AWS Cloud, exposure to Lambda/EMR/Kinesis will be good to have

We are looking for a highly skilled and experienced Senior Data Engineer to take charge of developing complex compliance and supervision models. Your expertise in cloud-based infrastructure, ETL pipeline development, and financial domains will be crucial in creating robust, scalable, and efficient solutions. As a Senior Data Engineer, your key responsibilities will include leading the development of advanced models using AWS services such as EMR, Glue, and Glue Notebooks. You will design, build, and optimize scalable cloud infrastructure solutions, drawing on a minimum of 5 years of experience in cloud infrastructure. Creating, managing, and optimizing ETL pipelines using PySpark for large-s...

The ideal candidate for this role should have a minimum of 4 years of experience in the following areas: Requirements: - Strong skills in writing complex queries, stored procedures, and performance tuning using SQL. - Expertise in creating pipelines, data flows, and orchestrating data movement in Azure Data Factory (ADF). - Proficiency in ETL processes, package creation, and deployment using SQL Server Integration Services (SSIS). - Knowledge of data warehousing, distributed query execution, and integration with Azure services in Azure Synapse Analytics. - Familiarity with Jupyter Notebooks or Synapse Notebooks for data exploration and transformation. - Understanding of Azure Blob Storage, D...

Intermediate Azure Developer About this role: The Intermediate Azure Developer will analyze business requirements, translating those requirements into Azure specific solutions using the Azure toolsets (Out of the Box, Configuration, Customization). He/She should have the following: experience in designing & building a solution using Azure Declarative & Programmatic Approach, knowledge with Integrating Azure with Salesforce, on premise legacy systems and other cloud solutions, experience with integration middleware and Enterprise Service Bus. He/She should also have experience in Translate design requirements or agile user stories into Azure specific solutions, consuming or sending the messag...

Job Summary We are seeking a skilled Azure Data Engineer with 4 years of overall experience , including at least 2 years of hands-on experience with Azure Databricks (Must) . The ideal candidate will have strong expertise in building and maintaining scalable data pipelines and working across cloud-based data platforms. Key Responsibilities Design, develop, and optimize large-scale data pipelines using Azure Data Factory, Azure Databricks, and Azure Synapse. Implement data lake solutions and work with structured and unstructured datasets in Azure Data Lake Storage (ADLS). Collaborate with data scientists, analysts, and engineering teams to design and deliver end-to-end data solutions. Develop...

Dynatrace Engineer / Lead (DQL, Notebooks, OneAgent) Experience: 3 to 15 years Job Location : Hyderabad / Bangalore / Chennai / Noida/ Gurgaon / Pune / Indore / Mumbai/ Kolkata Key Responsibilities: Proven experience in supporting and managing Dynatrace solutions. Strong background in application performance monitoring and troubleshooting. Experience with cloud platforms (AWS, Azure, GCP) and container technologies (Docker, Kubernetes) is a plus. Servicenow integration experience. Skills: Proficiency in Dynatrace configuration and administration. Excellent analytical and problem-solving skills. Strong communication and customer service skills. Familiarity with scripting languages (e.g., Pyth...

Data Analyst II Experience - 8 yrs location Chennai Budget upto 23 lpa JD: This role will be part of Enterprise Risk data solutions team. • Strong programming skills in BQ/SQL. • Strong analytical skills including the ability to define problems, collect data, establish facts, and draw valid conclusions. • Familiar with big data stack; Knowledge of Google Cloud Platform is highly preferred. • Expertise in data movement techniques and best practices to handle large volumes of data. • Experience with data warehousing architecture and data modeling best practices. Candidate Requirement: 8 years of experience in Data Technology is required. Strong analytical skill and expertise in Notebooks & BQ ...

Key Responsibilities: Deliver engaging and interactive training sessions (24 hours total) based on structured modules. Teach integration of monitoring, logging, and observability tools with machine learning. Guide learners in real-time anomaly detection, incident management, root cause analysis, and predictive scaling. Support learners in deploying tools like Prometheus, Grafana, OpenTelemetry, Neo4j, Falco, and KEDA. Conduct hands-on labs using LangChain, Ollama, Prophet, and other AI/ML frameworks. Help participants set up smart workflows for alert classification and routing using open-source stacks. Prepare learners to handle security, threat detection, and runtime anomaly classification ...