Senior Data Engineer/ DevOps/Infra
Encontrado en: beBee S ES - hace 1 mes
What are we looking for?
Our ideal data engineer has to prove experience with deployment/provisioning tools: Ansible, Terraform
We are looking for a sharp and creative person with strong analytical backgrounds in the fields of data engineer in order to participate in a leading project for developing high-tech energy products.
Candidates must be eager to work in a multidisciplinary team, boosting the internal capabilities and taking the most of the open innovation ecosystem.
Responsibilities For Data Engineer
Serve as a key member of the platform team in helping to success in building services on the Data, Analytics and AI platform. Identify ways to improve data reliability, efficiency and quality.Build deep relationships with senior technical individuals, stakeholders and customers to achieve objectives.Create and maintain optimal data pipeline architectures. Design, build, test and maintain data management systems.Build the systems required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and big data technologies.Design and develop scalable data pipelines to support continuing increases in data volume and complexity, increasing data accessibility and fostering data-driven decision making across the organization.Ensure security and governance for the data. Work with data and analytics experts to strive for greater functionality in our data systems.Ensure that all systems meet the business/company requirements as well as industry practices. Collaborate with members of the teams (Data scientists, Data analysts, Architects, etc.) on achieving goals.Work with stakeholders including the Buisness & IT teams to assist with data-related technical issues and support company needs.Our Ideal Data Engineer
The right person will be highly technical and analytical, possess several years of architecture/development/infrastructure consulting experience.
Strong verbal and written communications skills are a must, as well as the ability to work effectively across the organization. Technical knowledge required:
Strong experience in designing, architecting and implementing some of the following: Distributed high-scale applications, Microservices, Big Data, Analytics, Machine Learning, high-performance databases (SQL / NoSQL), etc.Experience architecting and/or developing solutions built on public clouds: Azure, AWS, Google Cloud.Working knowledge of software development practices and technologies: Agile (Scrum, Kanban, etc.), CI/CD, DevOps, DataOps, IaC, Automation, API-first, Microservices.Experience with Docker and container orchestration tools (Kubernetes).Working knowledge of message queuing, stream processing and highly scalable data stores.Experience with big data tools: Hadoop, Spark.Experience with relational SQL and NoSQL databases: Oracle, SQL Server, PostgreSQL, MongoDB, Cassandra, Hbase, Azure Cosmos DB, Google Cloud BigTable, Amazon RedShift.Experience with stream-processing systems & IoT.Demonstrated ability to adapt to new technologies and learn quickly.Fluency in English is essential.Collaborate and participate in activities relating to value-added technology systems, as well as maintenance and implementation of new appli
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