2 Data Aggregation Jobs nearby Kochi

Role Overview: As a highly skilled Data Architect, you will be responsible for designing, developing, and maintaining end-to-end data architecture solutions using leading-edge platforms such as Snowflake, Azure, and Azure Data Factory (ADF). Your role will involve translating complex business requirements into scalable, secure, and high-performance data solutions to enable analytics, business intelligence (BI), and machine learning (ML) initiatives. Key Responsibilities: - Design and develop end-to-end data architectures for integration, storage, processing, and analytics utilizing Snowflake and Azure services. - Build scalable, reliable, and high-performing data pipelines using Azure Data Factory (ADF) and Snowflake to handle large volumes of data. - Create and maintain data models optimized for query performance and analytics with Azure Synapse Analytics and Azure Analysis Services (AAS). - Define and implement data governance standards, data quality processes, and security protocols across all data solutions. Cloud Data Platform Management: - Architect and manage data solutions on Azure Cloud, ensuring seamless integration with services like Azure Blob Storage, Azure SQL, and Azure Synapse. - Utilize Snowflake for data warehousing to ensure high availability, scalability, and performance. - Design data lakes and data warehouses using Azure Synapse to create architecture patterns for large-scale data storage and retrieval. Data Integration & ETL Development: - Lead the design and development of ETL/ELT pipelines using Azure Data Factory (ADF) to integrate data from various sources into Snowflake and other Azure-based data stores. - Develop data transformation workflows using Python and ADF to process raw data into analytics-ready formats. - Design and implement efficient ETL strategies using Python, ADF, and Snowflake. Analytics & Business Intelligence (BI): - Design and implement data models for BI and reporting solutions using Azure Analysis Services (AAS) and Power BI. - Create efficient data pipelines and aggregation strategies to support real-time and historical reporting across the organization. - Implement best practices for data modeling to support business decision-making with tools like Power BI, AAS, and Synapse. Advanced Data Solutions (AI/ML Integration): - Collaborate with data scientists and engineers to integrate machine learning (ML) and AI models into data pipeline architecture. - Optimize the data architecture for AI-driven insights and large-scale, real-time analytics. Collaboration & Stakeholder Engagement: - Work with cross-functional teams to understand data requirements and align with business goals. - Provide technical leadership, guiding development teams and ensuring adherence to architectural standards and best practices. - Communicate complex data architecture concepts to non-technical stakeholders, translating business needs into actionable solutions. Performance & Optimization: - Continuously monitor and optimize data solutions for fast, scalable data queries, transformations, and reporting functions. - Troubleshoot and resolve performance bottlenecks in data pipelines and architecture to ensure high availability. - Implement strategies for data archiving, partitioning, and optimization in Snowflake and Azure Synapse environments. Security & Compliance: - Design and implement robust security frameworks to protect sensitive data across Snowflake, Azure Synapse, and other cloud platforms. - Ensure data privacy and compliance with industry regulations (e.g., GDPR, CCPA) through necessary security controls and access policies. Qualification Required: - Proficiency in Snowflake, Azure databricks, and Python.,

Role Overview: As a Core Python Developer with strong experience in MongoDB at HealthSigns, you will play a crucial role in developing backend services for the HealthSigns platform. You will be responsible for working on various services including EMR, Smart Scan, Smart Labs, transcription pipelines, and AI-driven clinical workflows. Your primary focus will be on building the Intelligence Kernel, which involves integrating AI reasoning, automation, and healthcare-grade data processing. Key Responsibilities: - Develop backend services and REST APIs using Python. - Design MongoDB schemas, indexes, aggregation pipelines, and optimize query performance. - Implement background workers, task queues, and scalable data flows. - Integrate with AI/LLM outputs such as transcription, Smart Scan, and clinical reasoning. - Ensure system reliability, security, role-based access, and detailed audit logging. - Handle complex healthcare workflows involving EMR, orders, labs, and billing modules. Data & Platform Integration: - Convert unstructured model output into validated, structured clinical data. - Build interfaces between backend, AI engines, and external systems like HIS, LIS, and EMR. - Implement fallbacks, confidence scoring, and error-handling mechanisms. - Collaborate with DevOps, QA, and frontend teams to deliver production-ready modules. Qualification Required: - Proficiency in Python (4+ years), FastAPI/Flask, microservices, and REST API development. - Strong hands-on expertise in MongoDB, including schema design, aggregation pipelines, and performance optimization. - Experience in building scalable backend systems with a good understanding of authentication, RBAC, logging, and integrations. - Familiarity with Git, CI/CD, and strong debugging skills. - Bonus skills include healthcare domain experience, familiarity with OCR/LLM/NLP pipelines, and cloud exposure in Azure/AWS. Additional Details: At HealthSigns, you will have the opportunity to work on mission-critical healthcare systems used globally. You will directly integrate backend services with AI engines, offering a high-growth and high-learning engineering environment. The company also provides a flexible remote/hybrid working model, enabling you to thrive in a fast-paced, product-driven environment. (Note: The "About the Role" and "Why Join HealthSigns " sections have been omitted as they do not contain specific job description details.),

As a Business Analyst with Oracle Financial Services Analytical Applications (OFSAA), you will collaborate with stakeholders to understand their needs and gather detailed business requirements. Your responsibilities will include analyzing data to identify trends, patterns, and insights that inform business decisions. You will develop and document business process models to illustrate current and future states and propose design solutions that meet business needs and objectives. Working with IT and other departments, you will implement solutions to ensure alignment with business goals. - Analyze data to identify trends, patterns, and insights - Develop and document business process models - Propose design solutions to meet business needs - Implement solutions in alignment with business goals - Communicate findings, recommendations, and project updates to stakeholders and executives - Create detailed documentation of business requirements, processes, and solutions - Participate in testing and validating new systems and processes - Identify opportunities for process improvements and contribute to ongoing optimization efforts Experience with OFSSA tables is considered a valuable asset for this position. Additionally, having worked on IT projects related to finance and Treasury in Banks, and possessing a reasonable understanding of GL/SLA setups, balance aggregation, and reconciliation processes will be beneficial. Oracle, a world leader in cloud solutions, values innovation and inclusivity. The company is committed to fostering an inclusive workforce that promotes opportunities for all employees. Oracle offers competitive benefits, including flexible medical, life insurance, and retirement options, ensuring work-life balance for its global workforce. Employees are encouraged to participate in volunteer programs to give back to their communities. If you require accessibility assistance or accommodation for a disability, please reach out by emailing accommodation-request_mb@oracle.com or calling +1 888 404 2494 in the United States.,