858 Data Ingestion Jobs - Page 13

Key Responsibilities:Splunk ITSI Implementation: Develop and configure IT Service Intelligence (ITSI) modules, including KPI creation, service trees, and notable event aggregation.SIEM Development: Design, implement, and optimize Splunk SIEM solutions for threat detection, security monitoring, and log analysis.Dashboard & Visualization: Create advanced dashboards, reports, and visualizations using Splunk SPL (Search Processing Language).Data Ingestion & Parsing: Develop data onboarding, parsing, and field extractions from various log sources, including cloud and on-prem infrastructure.KeywordsDashboard,Data Visualization,Splunk SPL,Data Ingestion,Splunk SIEM solutions,IT Service Intelligence...

Key Responsibilities: Splunk ITSI Implementation: Develop and configure IT Service Intelligence (ITSI) modules, including KPI creation, service trees, and notable event aggregation. SIEM Development: Design, implement, and optimize Splunk SIEM solutions for threat detection, security monitoring, and log analysis. Dashboard & Visualization: Create advanced dashboards, reports, and visualizations using Splunk SPL (Search Processing Language). Data Ingestion & Parsing: Develop data onboarding, parsing, and field extractions from various log sources, including cloud and on-prem infrastructure.KeywordsSIEM,Data Ingestion,data onboarding,Data Visualization,Dashboarding,Splunk*Mandatory Key SkillsS...

Key Responsibilities: Splunk ITSI Implementation: Develop and configure IT Service Intelligence (ITSI) modules, including KPI creation, service trees, and notable event aggregation. SIEM Development: Design, implement, and optimize Splunk SIEM solutions for threat detection, security monitoring, and log analysis. Dashboard & Visualization: Create advanced dashboards, reports, and visualizations using Splunk SPL (Search Processing Language). Data Ingestion & Parsing: Develop data onboarding, parsing, and field extractions from various log sources, including cloud and on-prem infrastructure. Mandatory Key Skills IT Service Intelligence,Data Ingestion,Splunk SPL,Splunk SIEM,SIEM Development,Spl...

Job LocationPune Position Summary: As a data engineer, you will be responsible for delivering data intelligence solutions to our customers all around the globe, based on an innovative product, which provides insights into the performance of their material handling systems. You will be working on implementing and deploying the product as well as designing solutions to fit it to our customer needs. You will work together with an energetic and multidisciplinary team to build end-to-end data ingestion pipelines and implement and deploy dashboards. Roles and responsibilities You will design and implement data & dashboarding solutions to maximize customer value. You will deploy and automate the da...

Key Responsibilities: Splunk ITSI Implementation: Develop and configure IT Service Intelligence (ITSI) modules, including KPI creation, service trees, and notable event aggregation. SIEM Development: Design, implement, and optimize Splunk SIEM solutions for threat detection, security monitoring, and log analysis. Dashboard & Visualization: Create advanced dashboards, reports, and visualizations using Splunk SPL (Search Processing Language). Data Ingestion & Parsing: Develop data onboarding, parsing, and field extractions from various log sources, including cloud and on-prem infrastructure. Mandatory Key SkillsIT Service Intelligence,Data Ingestion,Splunk SPL,Splunk SIEM,SIEM Development,Splu...

Design, develop, and maintain scalable and efficient big data processing pipelines distributed computing systems. Collaborate with cross-functional teams to understand data requirements and design appropriate data solutions. Implement data ingestion, processing, and transformation processes to support various analytical and machine learning use cases. Optimize and tune data pipelines for performance, scalability, and reliability. Monitor and troubleshoot pipeline performance issues, identifying and resolving bottlenecks. Ensure data quality and integrity throughout the pipeline, implementing data validation and error handling mechanisms. Stay updated on emerging technologies and best practic...

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...

NTT DATA Services currently seeks Python Hadoop Developer to join our team in Responsibilities Skillset: Python, Hadoop, ETL, RDBMS, Unix, GCP Vertex AI Responsibilities: Data Ingestion Pipelines, AIML Model deployments, Data Engineering, ML Engineering with Python.

Role Overview: As a Hadoop Admin for our client in Mumbai, you will be responsible for managing and administrating the on-premise Hortonworks Hadoop cluster. Your role will involve tasks such as user access management, data lake monitoring, designing and setting up Hadoop clusters, and managing multiple Hadoop utilities. Key Responsibilities: - Hands-on experience in managing and administrating on-premise Hortonworks Hadoop cluster - Knowledge on user access management - Data lake monitoring including cluster health checkup, database size, no of connections, IOs, edge node utilities, load balancing - Experience in designing, estimating, and setting up Hadoop cluster - Managing multiple Hadoo...

You are a highly skilled and motivated Power BI Developer with 4-6 years of experience in designing, developing, and deploying Power BI solutions. Your role involves transforming raw data into actionable insights through interactive dashboards and reports while ensuring secure and scalable data access. **Responsibilities:** - Develop and maintain Power Query (M) scripts for data transformation and ingestion. - Integrate data from multiple sources including SQL Server, Excel, APIs, cloud platforms (Azure, AWS), and third-party connectors. - Configure and manage Power BI Gateways for scheduled data refreshes. - Implement Row-Level Security (RLS) to ensure secure data access. - Publish and mana...

Why Choose Decision Point At Decision Point , we empower data-driven transformation by delivering innovative, scalable, and future-ready analytics solutions. With a proven track record in the CPG, Retail, and Manufacturing industries, we combine deep domain expertise with cutting-edge technologies to enable smarter decisions at every level of the enterprise. By joining our team, youll be part of a collaborative culture that values creativity, learning, and continuous improvement. We offer opportunities to work on high-impact projects with global clients, and leverage the latest cloud and data engineering tools to solve real-world business challenges. Key Responsibilities Design, develop, and...

Develop and maintain Python scripts to support the deployment and integration of GenAI models. Automate data ingestion, preprocessing, and model execution workflows using Python and other relevant tools. Build interfaces between GenAI models and existing systems or APIs. Monitor and optimize performance of deployed models and pipelines. Ensure robust logging, error handling, and system reliability. Stay updated with advancements in GenAI technologies and suggest improvements. Experience in Agile Development Process. Excellent communication skills, problem solving and debugging and troubleshooting Skills. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Lear...

SUMMARY Job Role: Senior Database Engineer Location: Hyderabad 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 databases and ...

About The Opportunity : A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients. We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments. We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems. This is a fully remote role for candidates based in India. Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdat...

About The Opportunity : A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients. We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments. We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems. This is a fully remote role for candidates based in India. Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdat...

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...

Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdata ingestion, pre-processing, model training/fine-tuning, evaluation, and scalable inference. - Develop and productionize transformer-based models (instruction-tuning, LoRA, quantization) using PyTorch/TensorFlow and Hugging Face tooling. - Architect and implement RAG pipelines integrating vector databases (FAISS/Milvus/Chroma), dense / sparse retrieval, and scalable embedding workflows. - Optimize inference throughput and latency using ONNX/TorchScript/TensorRT, autoscaling, and cost-efficient deployment patterns on cloud infra. - Define MLOps best practices : CI/CD for models, containerization, ...

About The Opportunity : A fast-scaling technology company operating in the Enterprise AI / Generative AI sector, building production-grade LLM-driven products and intelligent automation for global clients. We deliver secure, low-latency generative systems that power conversational AI, summarization, code generation, and retrieval-augmented applications across cloud-native environments. We are hiring a Senior Generative AI Engineer (7+ years) to own architecture, model development, and production deployment of advanced generative systems. This is a fully remote role for candidates based in India. Role & Responsibilities : - Lead end-to-end design and delivery of Generative AI/LLM solutionsdat...

Salary: 25 to 40 LPA Exp: 5 to 10 years Location: Gurgaon/Pune/Bengalore Notice: Immediate to 30 days..!! Job Profile: Experienced Data Engineer with a strong foundation in designing, building, and maintaining scalable data pipelines and architectures. Skilled in transforming raw data into clean, structured formats for analytics and business intelligence. Proficient in modern data tools and technologies such as SQL, T-SQL, Python, Databricks, and cloud platforms (Azure). Adept at data wrangling, modeling, ETL/ELT development, and ensuring data quality, integrity, and security. Collaborative team player with a track record of enabling data-driven decision-making across business units. As a Da...

You have a total experience of 7-17 years with strong expertise in Artificial Intelligence and Machine Learning. It is essential to have experience with common data science toolkits such as Python. Your work should include Concurrency, Data pipelines, and Data Ingestion for models. You must have hands-on experience with ML models beyond parameter tuning and interfacing. Additionally, experience with data visualization tools like Tableau, Power BI, D3.js, Gplot, etc. is mandatory, especially for the Architect role. Familiarity with SQL databases, time series databases, and optionally with noSQL databases like MongoDB, Cassandra, HBase would be advantageous. As for other skills, you are requir...

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role Are you ready to dive headfirst into the captivating world of data engineering at Kyndryl? As a Data Engineer, you'll be the visionary behind our data platforms, crafting them into powerful tools for decision-makers. Your role? Ensuring a treasure trove of pristine, harmonized data is at everyone's fingertips. As a Data Engineer at Kyndryl, you...

The Microsoft CoreAI Post-Training team is dedicated to advancing post-training methods for both OpenAI and open-source models. Their work encompasses continual pre-training, large-scale deep reinforcement learning running on extensive GPU resources, and significant efforts to curate and synthesize training data. In addition, the team employs various fine-tuning approaches to support both research and product development. The team also develops advanced AI technologies that integrate language and multi-modality for a range of Microsoft products. The team is particularly active in developing code-specific models, including those used in Github Copilot and Visual Studio Code, such as code comp...

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 Bachelo...

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 Bachelo...