Google Cloud Data Engineer AccelOne is looking for a talented Google Professional Data Engineer with an advanced English level to be part of an important international project.
Company Background AccelOne provides Outsourced IT / Software Development resources to companies in the US and Latin America from their HQ in Kirkland, WA with offices in Buenos Aires, Argentina.
Our company was created and built by seasoned technology professionals and entrepreneurs from a foundation of respect, transparency, fluid communication, and accountability.
Project Overview AccelOne is looking for an experienced, talented, passionate, and hard-working person in order to be part of a great team of Data Engineers who lead the future of digital services and Big Data.
Our client provides IT services through Consulting and Systems Integration, Managed Operations, and transactional services through Worldline.
It is the European leader and global operator of the payment services industry. Summary Job Description Design data management processes with Google Cloud Platform servicesBuild, optimize and monitor systems that facilitate the exploitation of data.
Ensuring that data is extracted, received, transformed, stored and accessible by the rest of the team.Build pipelines and test transformation processes of ingested dataBe aware of upload processes and solve incidentsPrepare and manage documentation, when requestedFocus on innovating new and better ways to create solutions that add value Job Requirements Bachelor’s degree in Computer Science, Mathematics, or a related technical field or equivalent practical experience.
Certification : Minimum : Google Professional Cloud ArchitectPreferred : Google Professional Data Engineer, AWS Big Data Specialty10+ years of direct experience working in Enterprise Data Warehouse technologies5+ years in a customer-facing role working with enterprise clientsExperience with implementing and / or maintaining technical solutions in visualized environmentsExperience in design, architecture, and implementation of Data warehouses, data pipelines, and flows.
Experience with developing software code in one or more languages such as Java, Python, or SQL.Experience designing and deploying large scale distributed data processing systems with one or more technologies such as Oracle, MS SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Redshift, Hadoop, Spark, HBase, Vertica, Netezza, Teradata, Tableau, Qlik, or MicroStrategy.
Customer-facing migration experience, including service discovery, assessment, planning, execution, and operationsDemonstrated excellent communication, presentation, and problem-solving skills.
Willingness to travel around 30% (Exempted) What we offer An opportunity to join a company that is growing rapidly and improving the way that software products are developed.
A creative, flexible, fun, and challenging environment with international clients.A Competitive Salary.Remote positionEnglish classesThe opportunity to be exposed to the newest technologies (Blockchain & Cryptocurrency, Machine Learning and others).
Corporate benefits with home appliances and electronic stores.Corporate discounts with Open English and NextU platforms.