6 of 6 Remote/Hybrid Hadoop Jobs in the North West

Azure, GCP) and their AI/ML services.Data Engineering: Proficiency in data manipulation and analysis using SQL and big data technologies (e.g., Spark, Hadoop). Experience with ETL, data pipelines, and automated workflows for moving and processing data.Data Governance: Adherence to data governance, security, and privacy standards throughout ...

following areas:Provide subject matter expertise and hands-on delivery of data capture, curation, and consumption pipelines on cloud platforms using native and Hadoop-based services.Ability to conduct comprehensive technical and architectural assessments of existing platforms, define future-state architectures, and articulate the migration strategy.Ability to design and build ...

business needs, entrepreneurial spiritExcellent verbal and written communication skillsBS or MS degree in Computer Science or equivalentExperience in distributed computing frameworks like - Hive/Hadoop, Apache SparkExperience in developing Finance or HR related applicationsExperience with following cloud services: AWS Elastic Beanstalk, EC2, S3, CloudFront, RDS, DynamoDB, VPC, Elastic Cache ...

/LLMOps principles, including CI/CD for ML, model monitoring, and governance frameworks.Proficiency with large-scale data processing and storage technologies (SQL, Spark, Hadoop) is a plus.Excellent stakeholder management and communication skills, with proven ability to translate complex AI concepts for diverse audiences.You can understand client challenges ...

skills. Nice to have Proven experience leading projects and managing teams, Experience in presales, client workshops, or building Proof-of-Concepts (PoCs), Familiarity with Hadoop, Spark, Research or R&D background. Soft Skills Ability to structure projects teams, make technical decisions, and own outcomes, Ability to manage multiple projects ...

transformation, and modelling in complex environments.Technical expertise in data engineering approaches and technologies, including at least one of the following: distributed data platforms (e.g. Hadoop), relational or NoSQL databases, and data warehousing and data lake concepts.Experience building and maintaining data pipelines using ETL/ELT tooling, with a focus … Technical questions to assess your expertise in data engineering approaches and technologies, including at least one of the following:Distributed data platforms (e.g. Hadoop), relational or NoSQL databases, and data warehousing and data lake concepts.Experience building and maintaining data pipelines using ETL/ELT tooling, with a focus ...