... are looking for an experienced Data Engineer to develop our analytical ... environments Work in the BIG DATA methodology Experience using: Linux, Git, ... on-premises Understanding of the data model lifecycle English minimum B2 ...
... responsible for designing and modeling data into DWH and Data Marts using Spark and MS SQL, exposing this data to, and collaborating with, BI ...
... with cross-functional teams, including data scientists, analysts, and software engineers, to deliver high-quality, reliable, and scalable data solutions. Responsibilities: Become a member ...
... Collaboration: Work closely with executives, analysts, and data scientists to understand their data requirements and develop solutions that meet business goals. Team Leadership: Coordinate Data Analysts and Engineers to ensure timely ...
... technologies and trends in big data and analytics, and evaluate their ... with a focus on big data technologies. Proficiency in SQL, React, ... colleagues from the USA, Full remote model of work, A permanent ...
... existing on-premise or cloud data lake to Google BigQuery. Work model: 100% remote Methodology: Agile Project duration: 06. ...
... innovative ways to interpret complex data and transform it into clear, ... a vast number of business analysts navigating large-scale data hubs. The role primarily involves ... Experience with Azure Synapse, Azure Data Factory, and Azure DevOps - these ...
... your traveling expenses. As a Data Solution Architect in Kainos, you’ll ... to design and deliver contemporary data solutions. You will be a ... a significant contribution to the data community and wider data capability. Managing, coaching and developing ...
... cross-functional teams including data scientists, analysts, and business stakeholders to understand ... years of experience within Data&Analytics Very good level of ... with other cloud technologies, data warehouses, data governance, and business analysis is ...
... are looking for a Data Engineer who not only has strong expertise in data engineering but is also ready ... , and delivering large-scale data pipelines ETL ELT expertise: Practical ... frameworks and libraries in Data Engineering domains: Spark, Kafka, Airflow, ...