Cloud Data Operations Engineer (Business Financing)

Company Background

Our client is a well-established financing provider for small and medium-sized businesses, operating both as a direct lender and a trusted marketplace with a network of lending partners. Their mission is to make financing faster, easier, and more accessible for business owners.

Project Description

We're looking for a candidate with have solid troubleshooting skills, critical thinking skills, project management skills, relational and cloud database management skills (MySQL, MSSQL, Snowflake), scripting/coding skills (Python, Linux Shell), and experience with Public Cloud (AWS). The candidate should be ready to work during US CST hours.

Technologies

• MySQL
• Linux Shell
• AWS
• MSSQL
• Snowflake

What You'll Do

• Manage relational databases as well as cloud data warehouses;
• Deploy and maintain data integration and data analytics processes, including data pipelines, data replication, ETL/ELT, etc.;
• Adhere to change management and other established processes and procedures;
• Refine, automate, and advocate for automation, standardized processes, issue tracking, and process improvement;
• Create and maintain documentation as well as operational knowledge base;
• Share knowledge with peers and other cross-functional teams;
• Enforce strict data security protocols by managing user access controls, data encryption, etc. to mitigate security risks;
• Monitor data systems performance, identify bottlenecks, and implement optimizations to maximize efficiency;
• Respond to and troubleshoot incidents;

Job Requirements

• Minimum 5 years working experience in the Data Operations or Data Engineering field;
• Experience with Relational Databases (MySQL, MS SQL Server);
• Experience with Data Warehouse technologies (Snowflake);
• Proficiency with scripting languages, including Python, BASH, etc. for automation of tasks;
• Advanced working knowledge of SQL;
• Experience with cloud-native (CloudWatch) as well as third-party monitoring solutions like Data Dog, etc.;
• Experience working with and maintaining data backup and recovery strategies;
• Experience working with and maintaining high-availability and disaster recovery strategies;
• Experience with performance tuning and optimization, using native monitoring and troubleshooting tools and techniques, including complex queries as well as procedure and indexing strategies;
• Experience working within an Agile environment;
• Experience managing Linux and Windows servers;
• Experience with Data Masking Technologies such as Delphix, Data Secure, etc.;
• Ability to conduct root cause analyses;
• Ability to prioritize, organize and plan work independently;
• English level, starting from Upper-Intermediate;

What Do We Offer

The global benefits package includes:

• Technical and non-technical training for professional and personal growth;
• Internal conferences and meetups to learn from industry experts;
• Support and mentorship from an experienced employee to help you professional grow and development;
• Internal startup incubator;
• Health insurance;
• English courses;
• Sports activities to promote a healthy lifestyle;
• Flexible work options, including remote and hybrid opportunities;
• Referral program for bringing in new talent;
• Work anniversary program and additional vacation days.