AI + Data Engineer — Fully Remote Bhalekar Consulting · Applied AI & Data Engineering · Official Anthropic & Databricks Partner We're an applied-AI and data consultancy delivering production-grade AI and data platforms for clients across financial services, retail, supply chain, and the public sector. As an official Anthropic ...
... production issues, perform root cause analysis, and implement performance improvements to ensure system reliability. Collaborate with solution architects, business analysts, data scientists, and BI teams to translate requirements into technical solutions. GyanSys offers a comprehensive benefits package designed to support the ...
... LangChain, LlamaIndex, and Hugging Face. Orchestration: LangGraph and Multi-Agent Systems (MAS). Development: Python, FastAPI, and Asynchronous Programming. RAG & Data: PostgreSQL, Vector Databases, and Advanced Retrieval strategies. ML/DL: PyTorch, TensorFlow, and Model Fine-tuning. Deployment: Docker, Production API management, ...
... business needs and data volumes. Champion modern data architecture patterns including data products, data contracts, observability, self-service capabilities, metadata-driven architectures, and AI-assisted engineering practices. Data Products & Business Impact Lead the design and delivery of data products that generate measurable ...
... senior leader in the data engineering team, you will set the standards for best practices and will be a mentor to other data engineers. Define and lead enterprise data architecture strategy with strong focus on Azure-based modern data platforms and Lakehouse architecture. Architect, design, and optimize scalable Data Warehouse ...
... customers. As a Data Scientist at Amazon Prime Video APAC and ANZ analytics team, you will have the opportunity to work on one of the world's largest consumer data sets, influence the long term evolution of our analytics capability and support the expansion of Amazon's digital video business. The Data Scientist will work ...
... environments. Database Advanced SQL Server expertise. Query tuning and performance optimization. Data modeling (star schema, dimensional modeling). Cloud and modern data platforms Azure Data Factory, Fabric, Synapse, Databricks, or similar platforms. Experience with modern data lake and warehouse architectures. Data orchestration ...
... Future of Security at Netskope Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and ...
... Collaborate with Smart Manufacturing Strategy Leads to align data science efforts with business goals across Micron sites. Provide mentorship and coaching to data scientists and engineers to nurture their technical skills. Perform exploratory data analysis and feature engineering on structured and unstructured data. Fluency ...
... knowledge of Ontology, Pipeline Builder, Code Repositories, Workshop, Quiver, and Data Connections . - Proficiency in Python, PySpark, and SQL . - Experience in data pipelines, ETL/ELT, transformations, and data quality. - Experience integrating Foundry with cloud platforms, APIs, and databases . - Knowledge of React/TypeScript ...
... candidates via LinkedIn, all applications must be submitted through our official website ( https://jobeax.com/link/1iJyEIRqk07JrVCp build systems that run on data, and that data has to be ingested, transformed, and validated before anything downstream can trust it. As a Data Engineer, you build the ingestion and transformation ...
... data narratives, written documents, and presentations that influence product and business strategy. - Contribute to the broader science community by mentoring analysts, improving data workflows and tooling, and sharing technical work in internal and external forums. Deep dive into smart home interaction metrics - analyzing ...
... and manage S3-based data lake architecture for raw data storage, ingestion, and processing. Support SQS-based asynchronous workflows for report generation and data-processing queues. Monitor data pipeline health and proactively troubleshoot issues affecting data accuracy, reliability, or freshness. Implement data quality ...
... improve team's data architecture, making it better and easier to maintain (e.g., data auditing solutions, automating, ad-hoc or manual operation steps) Owns the data quality of important datasets and any new changes/enhancements 1+ years of data engineering experience - Experience with data modeling, warehousing and building ...
... Order Supply chain management domain- Define and implement data modeling standards, best practices, and governance frameworks.- Collaborate with data engineers, analysts, and business stakeholders to understand requirements and translate them into robust data solutions.- Architect data pipelines that ensure data quality, integrity, ...
... schema design, data partitioning, and query optimization- Exposure to Azure.- Exposure to Streaming technologies. (e.g Autoloader, DLT Streaming)- Advanced SQL, data modeling skills, and data warehousing concepts tailored to investment management data (e.g., transaction, accounting, portfolio data, reference data etc).- Experience ...
... looking for a Senior Data Scientist as we support our partner in developing a Global Analytics Unit—a global, centralized team with the ambition to strengthen data-driven decision-making and the development of smart data products for day-to-day operations. The team is designed to foster a data-driven entrepreneurial culture ...
... architecture, data architecture, platform engineering, or closely related technology roles. - Strong experience designing modern data platforms, preferably using Databricks, Delta Lake, and Unity Catalog . - Solid understanding of lakehouse architecture, data governance, metadata management, data products, and semantic modeling. ...
We are seeking a highly skilled Senior Data Engineer to architect, build, secure, and optimize end-to-end data pipelines and enterprise-grade data platforms. The ideal candidate brings deep expertise in Python, Snowflake, modern cloud ecosystems, data warehousing design, and DevSecOps-led automation. You will mentor junior ...
The ideal candidate should possess experience with ETL, data and reporting; and contributing code to deliver new features and functionality. Day-to-day you will collaborate with engineers, product managers, designers, marketing, operations, and customer experience teams. This role is integral to our client's team which ...