Data Engineer at DataArt

• Automate and orchestrate data flow between devices and both AWS and GCP
• Implement data warehousing solutions on AWS
• Manage AWS data components, such as Kinesis Data Stream, Kinesis Firehose, S3 Bucket, Lambda, Greengrass IoT Core, Timestream, and Athena
• Optimize the AWS infrastructure for cost, latency, reliability, and management
• Develop and maintain comprehensive documentation of cloud infrastructure setup, policies, standards, and guidelines
• Implement Infrastructure as Code (IaC) for reliable and repeatable infrastructure deployment

• 5+ years of experience in data engineering, specifically with managing data from multiple devices
• Proficient knowledge of AWS services, particularly Kinesis Data Stream, Kinesis Firehose, S3 Bucket, Lambda, Greengrass IoT Core, Timestream, and Athena
• Experience with Infrastructure as Code (IaC) technologies like Terraform or AWS CDK
• Experience with handling data flow and data warehousing
• Proficiency in programming languages relevant to data engineering such as Python
• Familiarity with Quality Control and Test Automation practices

• Relevant AWS or GCP certifications, as well as experience in the robotics or hardware industry

We offer

• Professional Development:
— Experienced colleagues who are ready to share knowledge;
— The ability to switch projects, technology stacks, try yourself in different roles;
— More than 150 workplaces for advanced training;
— Study and practice of English: courses and communication with colleagues and clients from different countries;
— Support of speakers who make presentations at conferences and meetings of technology communities.
• The ability to focus on your work: a lack of bureaucracy and micromanagement, and convenient corporate services;
• Friendly atmosphere, concern for the comfort of specialists;
• Flexible schedule (there are core mandatory hours), the ability to work remotely upon agreement with colleagues.