Job Summary:

In this role, you will be responsible for expanding and evolving the cloud-based enterprise data platform. You will ensure the technology components of the platform are correctly configured and optimized to meet the functional, non-functional, and operational requirements. This role requires a highly motivated individual with strong technical ability, data capability, excellent communication and collaboration skills including the ability to develop and troubleshoot a diverse range of problems. The candidate must be self-directed with the ability to own and execute the platform improvement activities while collaborating with other team members and stakeholders.

Be willing to work non-standard business hours on an on-call basis in a 24x7 environment few days a month.

Responsibilities:

• Triage problems across the data platform to help address development, test, and production issues
• Able to identify and debug issues in Tableau dashboards.
• Testing Data pipelines at staging/QA environments and help deploying them at production
• Work with business, product and technical stakeholders on data or report issues.
• Create and manage Incident and Change Requests as needed for data pipelines.
• Assist with data architecture, pipeline development, automation and planning
• Develop and maintain documentation, departmental technical procedures, and user guides
• Maintain best practices to facilitate optimized software development and continuous improvement/continuous delivery (CI/CD)

Qualifications:

• Undergraduate degree in computer science, engineering, or a related discipline preferred
• 4-6 years of experience in building and maintaining data platforms, ETL processes and connected sources and targets required
• 4 years’ experience in data analytics on (Microsoft SQL Server, Redshift, HQL)
• 4 years of professional experience in Python, Java, Hortonworks, AWS, Rest API, Microservices, Spring Boot, Spring cloud etc.
• 1 years of Tableau or similar Visualization dashboards build debugging.
• Excellent advanced SQL troubleshooting skills
• Proficient in Python and Java programming languages.
• Understanding of distributed compute frameworks like Hadoop, Spark .
• Advanced structured query language (SQL) skills are key
• Strong foundation in the AWS Cloud Services: S3, Redshift Spectrum, EC2
• Solid understanding and experience working with Gitlab, JIRA and Confluence

Various jurisdictions have passed pay transparency laws that require companies provide salary ranges for any positions for which they are accepting applications. Global Atlantic has offices in Atlanta, Batesville, Bermuda, Berwyn, Boston, Des Moines, Hartford, Indianapolis, and New York City. The base salary range posted below is inclusive of the lowest cost of living geography to the highest in which we have a Global Atlantic office. 

Global Atlantic’s base salary range is determined through an analysis of similar positions in the external labor market. Base pay is just one component of Global Atlantic’s total compensation package for employees and at times we hire outside the boundaries of the salary range. Other rewards may include annual cash bonuses, long-term incentives (equity), generous benefits (including immediate vesting on employee contributions to a 401(k)), as well as a company match on your contributions), and sales incentives. Actual compensation for all roles will be based upon geographic location, work experience, education, licensure requirements and/or skill level and will be finalized at the time of offer. Compensation for our more senior positions have a larger component of short-term cash bonus and long-term incentives. The base salary range for this role is $65,488 to $124,740.

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