Data Engineer

at Global Atlantic Financial Group
Boston, Massachusetts, United States

COMPANY OVERVIEW

Global Atlantic Financial Group is a leader in the U.S. life insurance and annuity industry, serving the needs of individuals and institutions. With differentiated investment and risk management capabilities, deep client relationships, and a strong financial foundation, the company has established a track record of delivering proven, value-added solutions and long-term growth. Global Atlantic is a majority-owned subsidiary of KKR, a leading global investment firm that offers asset management and capital markets solutions across multiple strategies.

Global Atlantic is looking for a diverse team of talented individuals who reinforce our culture of collaboration and innovation. We are dedicated to the career development of our people because we know they are critical to our long-term success. Join our team and come grow with us.

 

POSITION OVERVIEW

Summary: The Data Engineer will expand and optimize the data and data pipeline architecture, as well as optimize data flow and collection for cross functional teams. The Data Engineer will perform data architecture analysis, design, development and testing to deliver data applications, services, interfaces, ETL processes, reporting and other workflow and management initiatives. The role will work closely with the business, data analysts and IT teams to support on data strategy initiatives and will ensure optimal data delivery architecture is consistent throughout the strategy. The role also will follow modern SDLC principles, test driven development and source code reviews and change control standards in order to maintain compliance with policies. 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.

Responsibilities

  • Design and develop enterprise data / data architecture solutions using Hadoop and other data technologies like Spark, Scala, Python, SQL etc.
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Create and maintain optimal data pipeline architecture.
  • Devise and execute continual improvement initiatives in all Data Management Service delivery and technology, with a focus on delivery velocity and quality.
  • Partner with business leaders to determine and prioritize delivery initiatives.
  • Define or influence system, technical and application architectures for major areas of development.
  • Devise and execute in software development life cycle including requirements gathering, development, testing, release management, and maintenance.
  • Engage with business partners to report (formally and informally) on technology strengths, weaknesses, successes and challenges on a regular basis.
  • Ability to do analytical programming in EDW architecture to bridge the gap between a traditional DB architecture and a Hadoop centric architecture.
  • Highly organized and analytic, capable of solving business problems using technology.
  • Ensure appropriate change management and other technology methodologies are carried out on a consistent basis over time.
  • Should be an individual with in-depth technical knowledge and hands-on experience in the areas of Data Management, BI Architecture, Product Development, RDBMS and non-RDBMS platforms.
  • Should have excellent analytical skills, able to recognize data patterns and troubleshoot the data.
  • Will be responsible for design and delivery of data solutions to empower data migration initiatives, BI initiatives, dashboards development etc.

QUALIFICATIONS

  • Undergraduate degree required, MBA or other advanced degree preferred.
  • 3+ years of experience as a member of an information technology team.
  • 2+ years of relevant experience architecting the complete end to end design of enterprise wide solution using latest technologies – Hadoop, Spring boot/Spring Cloud, Rest API, SQL
  • 2+ years of professional experience in Python, Core Java, Hortonworks, AWS, Rest API, Microservices, Spring Boot, Spring cloud etc.
  • Experience with data modeling, complex data structures, data processing, and data quality and data lifecycle
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to provide solution for specific business requirements.
  • Experience building solutions for streaming applications.
  • Should be able to lead critical aspects of the data management and application management.
  • Experience in UNIX shell scripting, batch scheduling and version control tools.
  • Experience in large scale server-side application development that includes the design and implementation of high-volume data processing jobs.
  • Cultural awareness with excellent interpersonal and relationship building skills.
  • Passion and drive for continuous improvement and transformational change, with a business owner mentality.
  • Strong written and verbal communication skills.

Global Atlantic’s total rewards package is reflective of our corporate values, particularly diversity, excellence and innovation, with a focus on inclusion, pay equity, and flexibility. We are proud to support your personal and professional growth and well-being through programs such as educational assistance, virtual physical therapy, remote/onsite fitness reimbursement, a medical second opinion program, pet insurance, military leave, parental leave, adoption assistance, fertility and family planning coverage. We strive to foster a culture of total well-being through community outreach and charitable giving programs.

Global Atlantic is committed to creating an inclusive environment where everyone feels like they can meaningfully contribute to our success. We are proud to be an equal opportunity employer and we do not discriminate in employment on any basis that is prohibited by federal, state or local laws. We encourage qualified applicants from all demographics to apply. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, disability, age, or veteran status.

This position is not eligible for visa sponsorship now or in the future.

 

Global Atlantic Financial Company Employee Candidate Privacy Notice

Voluntary Inclusion Questions

We encourage qualified applicants from all backgrounds to apply.  As such, we are committed to achieving a diverse candidate pool for open positions and that our interview teams are made up of employees from different backgrounds.  Sharing your background with us will help us with that focus, although recruiters and hiring managers will not have the ability to see individual responses (only aggregate information).  

This information is not used to determine who is selected for interviews or will be hired, but is helpful in identifying resources, sites and groups which add value in increasing our applicant pool and ensures that we attract the best and most diverse workforce.  This is purely voluntary but will help our mission to be inclusive.  

 

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