Knowledge developer jobs in HSR Layout

 ...dedicated to improving lives, with a passion for researching and developing new medical device products. Technical Support organization is...  ...Purpose: Vocera now a part of Stryker is seeking a Senior Knowledge Management Specialist to join our Support Process Excellence organization... 

 ...perspective. As part of this mandate, we are building a new Knowledge Management function to strengthen how Celonis creates, captures...  ...standards in collaboration with internal and external stakeholders. Develop training programs and onboarding frameworks to upskill employees... 

 ...Snowpipe, COPY INTO) for data ingestion and transformation. Develop and manage API-based integrations and automation. Lead data governance...  .... ~ Hands-on Python for data engineering/automation. ~ Knowledge of AI, LLMs, and Snowflake AI features (e.g., Cortex). ~... 

 ...select days, as determined by the business needs of the team. The Knowledge Management Solutions (KMS) team at LinkedIn is responsible for...  ...the Manager, Knowledge Engineering. Key Responsibilities: Develop a deep understanding of the end-to-end content system, including... 

 ...Job Title : Snowflake Developer with SQL Mandate skills -Snowflake and SQL, Python Location: Bangalore, KA ,Gurgaon -WFO only...  ...~ Experience with dbt, or other data integration tools. ~ Knowledge of data security, compliance, and governance frameworks. ~ Certifications... 

 ...between source systems and the EDW. Data Integration: Develop data integration strategies to extract, transform, and load (ETL...  ...tools (e.g., ERwin, ER/Studio) and ETL tools - ODI. Solid knowledge of SQL and database technologies. Experience with performance... 

 ...NoSQL, SQL, cloud databases to support our organization's needs. Develop and maintain database architecture and standards for our...  ...database design, data modeling, and schema development. Strong knowledge of SQL and other database query languages Experience with cloud... 

 ...Technical Skills & Experience: Advanced to expert knowledge in SQL on any database platform. Proficient in modern data warehouse design concepts such as Data Warehouse, Data Lakehouse, Data Mesh, Data Vault. Experience working with large and complex datasets. Skilled... 

 ...aligned with strategic objectives. Key Responsibilities Design, develop, and maintain dimensional, relational, and semantic data models...  ..., lineage, and metadata for all models. Apply CPG domain knowledge to model data relevant to sales forecasting, trade promotion,... 

 ...management, documentation, and version control. Maintain expertise and proficiency in the various application areas. Maintain current knowledge of industry trends and standards. Required Skills Strong data analysis and data profiling skills. Strong conceptual,... 

 ...RDS, Azure SQL).  ∙Collaborate with application architects and developers to optimize data access patterns and query performance.  ∙...  ...data warehousing, ETL processes, and data integration tools.  ∙Knowledge of database security, encryption, and access control mechanisms... 

 ...in Python and data-related libraries along with strong working knowledge of AWS data services and strong AWS fundamentals like VPC, subnets...  .../outbound rules. Key Responsibilities Design, develop, and maintain conceptual, logical, and physical data models... 

 ...aligned with our strategic objectives. Responsibilities Develop and maintain data models to support business intelligence and analytics...  .... ~ Experience with data warehousing and ETL processes. ~ Knowledge of data governance and data quality frameworks. ~ Familiarity... 

 ...financial services industry. Key Responsibilities Design, develop, and maintain dimensional data models to support analytics and reporting...  ...Experience in the banking or financial services sector. Knowledge of data lake architecture and modern data stack tools. AWS or... 

 ...data management in a B2B setup and experience with data governance and data quality concepts. Key Responsibilities Design and develop conceptual, logical, and physical data models for enterprise and application-level databases Translate business requirements into... 

 ...microservices with well-defined bounded context and interaction Develop, construct, test, and maintain existing and new data-driven...  ...code without compromising data quality, privacy, or security. Knowledge of database design principles, query optimization, index management... 

Responsibilities: Architect and implement high-performance, scalable MySQL database solutions. Collaborate with development teams to design database schemas and optimize queries. Manage day-to-day database operations including configuration, backups, restores, ...

Job Description The role plays a key role in designing and maintaining data models that align with the organization's business requirements, enhance data quality, and facilitate efficient data processing and analysis. Job Description - Grade Specific The role leads...

 ...~ Experience with NoSQL (MongoDB, Cassandra, DynamoDB) . ~ Skilled in SQL, performance tuning, and cloud databases . ~ Knowledge of ETL, data warehousing, and database security . Preferred: Cloud certifications (AWS, Azure, GCP). Familiarity... 

 ...We are looking for a skilled Senior Data Modeller who can design, develop, and maintain robust data models that support enterprise-scale data management, analytics, and reporting solutions. Skilled in translating complex business requirements into scalable and efficient... 

 ...software programs. • Testing and evaluating new programs. • Identifying areas for modification in existing programs and subsequently developing these modifications. • Writing and implementing efficient code. • Determining operational practicality. • Developing quality... 

 ...compliance. Key Responsibilities Data Modeling Expertise ~ Develop conceptual, logical, and physical data models to support core...  ...data modelers and data analysts, providing technical guidance and knowledge sharing. Compliance & Governance ~ Ensure data models... 

 ...identify inefficiencies, bottlenecks, and scalability issues. Develop a comprehensive re-architecture plan that includes database...  ...tuning, query optimization, and indexing strategies. ~ Strong knowledge of data security and privacy standards. ~ Experience with database... 

 ...teams, for the performance of the reporting solutions produced. Developing best practices for data coding naming conventions, default...  ...modelling, with overall 4+ years of industry experience. Expert knowledge of metadata management and related tools. Knowledge of... 

 ...global and bold move priority initiatives and beyond. Design, develop and implement robust and scalable data analytics using modern...  ...effective management of the FoundationX backlog. Leverage your knowledge of data engineering principles to integrate with existing data pipelines... 

 ...Kernel, LangChain, and LangGraph, along with strong skills in developing, integrating, and deploying AI-powered applications at scale....  ...Build and deploy LLM-based solutions integrating various APIs and knowledge sources. Collaborate with cross-functional teams to define use... 

 ...implement, and deploy scalable ML models and pipelines for supervised & unsupervised problems, ensuring robustness and reproducibility. Develop production-quality Python services (APIs/batch jobs) to serve models with low latency and high throughput. Collaborate with data... 

 ...Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services...  ...solutions to problems that apply across multiple teams. - Facilitate knowledge sharing and mentorship within the team to foster professional... 

 ...analytics, and real-time decisioning for enterprise customers. We develop end-to-end ML services—from data ingestion and model training to...  ...model limitations, and contribute to design reviews and knowledge-sharing sessions. Skills & Qualifications Must-Have ~3-4... 

 ...models and off-the-shelf LLM services, such as OpenAI models. Along with knowledge around Retrieval augmented generation and relevant techniques to improvethe performance & capabilities of LLMs Develop an end-to-end machine learning pipeline that includes model development...