Project Description
US Based client, operating in data analytics and data-driven insights area, working on a building of solutions for data acquisition, storage, processing, and analysis for big enterprises.
Our client was formed by an experienced management team and is backed by several of the world’s largest hedge funds to solve some of the most challenging problems in data analytics and data-driven insights. Working with clients, our employees will get possibilities to enjoy the best of startup culture but with the stability of an established company, which is uncommon for ordinary startups. Technically, you will be one of the principals responsible for building and maintaining a new platform by leveraging a wide variety of technologies and services. You will work on a solution capable of onboarding and processing large volumes of heterogeneous data aimed at providing analytics and insights to aid investment research and operations.
To achieve client expectations, we are seeking a rare kind of individual who can zoom out to the big picture while also being capable of zooming in to implementation details with a focus on service quality. You will be one of the key team members responsible for setting standards, culture, mentorship of other team members, and shipping high-quality solutions. You will aim to bring clarity and energy to the team and to your work environment.
You have a positive attitude and embody a balance of cautiousness, such as that which serious data engineering requires, and pushing the envelope, a requisite of any startup. You are an excellent team player and aim to bring out the best in those around you.
Our team consists of highly motivated professionals, which provide various services to the client.
Benefits:
• Flexible schedule
• Extra weekends
• Bonuses for non-BAU support
• Transfer to the office during non-bau hours.
• Cloud technology stack
• Possibilities to attend in-service build out from scratch (Including CI/CD pipeline, Could infra., ITIL based processes)
This position has 24/7 work requirements
Responsibilities
Responsibilities:
• Support end-to-end data flows and health/sanity checks of the systems/applications ;
• Design and configuration of monitoring systems – functional and data quality monitoring;
• Investigate and supply analysis for fix application/configuration issues (improper configuration/deny of services etc.), support defect fixes rollouts;
• Deployment of new data source interfaces between vendors and client system;
• Direct communication with multiply vendors;
• Regular reporting and efforts tracking;
• Continuous service improvement: Constantly review existed service, processes, and technical solution and looks for improvements – your ideas will be the biggest value for us and client.
Skills
Must have
Tech:
• 3+ year as a Production Support Engineer
• Analytical mindset. Experience with data analysis
• Mandatory: Experience with REST API (HTTP), FTP, SFTP
• Mandatory: Good Linux/Unix (CentOS/Debian like ) – strong
• Mandatory: SQL, PLSQL – strong
Soft:
• English – Upper-Intermediate
• ITIL will be a benefit
• Team play and good self-organization
Nice to have
• Good to have: Experience with source control (GIT)
• Good to have: Docker
• Good to have: Jenkins, Maven (any CI/CD)
• Good to have: Experience with ETL system
• Good to have: Any scripting like Bash, Shell, Python will be a benefit
• Good to have: Experience with AWS (S3, EC2, ECR) – as better as possible
Languages
English: B2 Upper Intermediate
Seniority
Senior
Relocation package
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