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Our client specializes in manufacturing equipment for industrial automation.
Role will primarily involve managing the data flow from robots to data pipelines, data warehousing and automating existing infrastructure. The ideal candidate will be highly proficient in AWS data components management and Infrastructure as Code (IaC) technologies.
Responsibilities
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
Requirements
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
Nice to have
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.
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