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The project consists of migrating from a PostgreSQL database into a NoSQL database. We're looking for a NoSQL expert (MongoDB, Cassandra, CouchDB, etc) who can help us to determine the project's viability, time and cost estimates. The main goals for this project are: - Stability - Scalability - Reasonable complexity The goal is to identify which technology suits our technical needs better and study its cost. Please include in your answer details about the approach you would follow to study the viability of this project and any relevant question you have. To make sure you read the post, please include the result of this operation in your answer: 2*21=? Thanks.
Exceptional proficiency in Java/Golang/Rust or any other strongly typed language. Working knowledge of big data technologies like apache spark or something similar is a big plus. Strong understanding of Sql/NoSql databases (Postgres/Cassandra) Well versed with operating and enhancing scalable, fault-tolerant, distributed systems. Working knowledge of AWS or any other cloud infrastructure provider. Comfortable operating in an Agile environment and dealing with uncertainty and ambiguity. Understanding of system design, architecture and distributed systems (Messaging systems, Eventual Consistency, CAP, ACID) Keen interest in web 3.0 ecosystem (blockchain, DeFi, NFTs etc)
Looking for a Data Engineer from India for our Enterprise Client (INDIVIDUALS ONLY). Teams/Enterprises/Consultancies/Agencies please stay away. Project Duration: 3-6 months Location: Remote/WFH Hours Required: 40 hrs/week Responsibilities • Diverse Data Engineering activities using best of the breed commercial and in-house platforms both cloud and on-premise solutions • Build & Deliver Data pipeline connecting various enterprise data sources both RDBMS, NoSQL & APIs to process structured, semi-structured and unstructured data • Develop data mappings to existing data sources, Lead the data identification, data analysis efforts for data sources and work directly with data owner teams • Design and development of data extraction, data ingestion, data ...