863 Data Ingestion Jobs - Page 18

As a Big Data Engineer, you will develop, maintain, evaluate, and test big data solutions. You will be involved in data engineering activities like creating pipelines/workflows for Source to Target and implementing solutions that tackle the clients needs.Your primary responsibilities include: Design, build, optimize and support new and existing data models and ETL processes based on our clients business requirements. Build, deploy and manage data infrastructure that can adequately handle the needs of a rapidly growing data driven organization. Coordinate data access and security to enable data scientists and analysts to easily access to data whenever they need too Required education Bachelor...

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Snowflake Data Warehouse, Data Engineering Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Snowflake Architect, you will be responsible for designing robust, secure, and high-performing Snowflake environments. You will assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work requests. Your typical day will involve collaborating with cross-func...

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 : Snowflake Data Warehouse Good to have skills : Data Engineering, Data Building Tool, FivetranMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Snowflake Architect you will design and implement scalable, secure, and high-performance Snowflake architectures across multiple projects and teams. Your typical day will involv...

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 : Snowflake Data Warehouse Good to have skills : Data Engineering, Data Building Tool, Gen AI, FivetranMinimum 7.5 year(s) of experience is required Educational Qualification : 15 years full time educationLevel 8:Snowflake+GenAIAbout The Role Project Role :Snowflake Architect Project Role Description :Lead design and implementation of scalable, secure, and high-performance Snowflake arc...

Project Role : Data Architect Project Role Description : Define the data requirements and structure for the application. Model and design the application data structure, storage and integration. Must have skills : Snowflake Data Warehouse, Data Engineering, GEN AI Good to have skills : NAMinimum 12 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As a Snowflake Architect, you will be responsible for designing robust, secure, and high-performing Snowflake environments while enabling and optimizing real-time analytics pipelines. You will assist in facilitating impact assessment efforts and in producing and reviewing estimates for client work r...

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...

- 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 Synapse Analytics -...

- 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...

- 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

Job Summary As an ATS (Account Technology Specialist) in NetApp’s Sales function, you will utilize strong customer handling and technical competencies to set objectives and execute plans for winning sales campaigns. This challenging and high-visibility position provides a huge opportunity to grow in your career and cover the largest account base in the region. You develop long-term strategies and shorter-term plans to meet aggressive performance goals with the channel partners and internal stakeholders, including the Client Executive and the District Manager. You must be extremely results-driven, customer-focused, tech-savvy, and skilled at building internal relationships and external partne...

Overview The Senior Associate, Client Insights and Analytics will be integral in leveraging data to conduct analysis and draw insights that empower stakeholders to make informed business decisions. The potential candidate will bring their own strong logical reasoning and analytics skills, consulting with stakeholders to ensure they are asking the best questions possible to improve business results. This role involves a high level of collaboration with Business Technology along with other stakeholders across the Marketing, Product and Sales organizations. Responsibilities Collaborate with Business Technology on the integration of data from multiple sources to build a comprehensive view of mar...

- 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

- 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...

Job Role: Senior Database Engineer Location: Hyderabad / Gurgaon / Noida Start Date: As soon as possible Key Responsibilities Build data pipelines for optimal extraction, transformation, and loading from various data sources using SQL and cloud database technologies. Work with stakeholders (Executive, Product, Data, Design teams) to support data-related technical issues. Collaborate with data and analytics experts to enhance data system functionality. Assemble large, complex data sets meeting business requirements. Analyze and improve existing SQL code for performance, security, and maintainability. Design and implement internal process improvements (automation, scalability). Unit test datab...

Your future role Take on a new challenge and apply your data engineering expertise in a cutting-edge field. Youll work alongside collaborative and innovative teammates. You'll play a key role in enabling data-driven decision-making across the organization by ensuring data availability, quality, and accessibility. Day-to-day, youll work closely with teams across the business (e.g., Data Scientists, Analysts, and ML Engineers), mentor junior engineers, and contribute to the architecture and design of our data platforms and solutions. Youll specifically take care of designing and developing scalable data pipelines, but also managing and optimizing object storage systems. Well look to you for: 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...

6-month extendable Hybrid role in Indore, Noida, Bangalore, Hyderabad, Gurgaon, or Pune. Requires to go 4 days a month in office 8+ yrs in ETL & pipeline expert skilled in Azure, Spark, SQL, Python/Scala, Synapse, Snowflake, and data architecture.

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...

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 foundational knowledge in data warehousing, ETL/ELT processes...

About the role: We are seeking an experienced Senior Product Manager to lead our Data & AI-powered Agentic Workflow and RAG Services initiative. The ideal candidate should have a strong background in Product Management (minimum 6 years in pure Product Management role, NOT project or program management), be an excellent communicator, understanding of market & basic business perspectives, smart in stakeholder management skills . He/She is expected to have prior experience of working with Data & AI/ML products, enterprise software, and cloud services. Key Responsibilitie s: Define and execute product strategy for AI-powered workflow automation services. Create and maintain product roadmap align...