Globality Bid | Data Engineer 6-10 Years (3 openings) | Due Date 8/8/25
Globality Bid | Data Engineer 6-10 Years (3 openings) | Due Date 8/8/25
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Salary Not Disclosed
1 Vacancy
Job Description
The FI Data Solutions team is looking for a highly motivated Data Engineer responsible for designing building and maintaining the operational and analytical capability in FIs data platforms. The work involves solution design data analysis production rollout and production support activities using Java Spring Batch Python AWS Oracle and Snowflake. The role will be involved in work to bring in new financial products into our data ecosystem that will provide value to our compensation sales and reporting users.
The data engineers are responsible for implementing updates to the FSA database and associated data pipelines focusing on improving data accuracy automation and operational efficiency. Their tasks include enhancing model portfolio data automating sub-advised fund balance updates and refining position closure logic to address phantom assets.
The Expertise and Skills You Bring
- Bachelors or Masters Degree in a technology related field (e.g. Engineering Computer Science etc.) required with 5 years of working experience
- 4 years of Java development utilizing Spring frameworks. Experience writing batch jobs with Spring Batch is highly desirable
- 2 years of experience developing applications that run in AWS with focus on AWS Batch S3 IAM
- 2 years working with SQL (ANSI SQL Oracle Snowflake)
- 1 years of Python development
- Experience with Unix shell scripting (bash ksh) and scheduling / orchestration tools (Control-M)
- Strong data modeling skills with experience working with 3NF and Star Schema data models
- Proven data analysis skills; not afraid to work in a complex data ecosystem
- Hands-on experience on SQL query optimization and tuning to improve performance is desirable
- Experience with DevOps Continuous Integration and Continuous Delivery (Jenkins Terraform CloudFormation)
- Experience in Agile methodologies (Kanban and SCRUM)
- Experience building and deploying containerized applications using Docker
- Work experience in the financial services industry is a plus
- Proven track record to handle ambiguity and work in a fast-paced environment either independently or in a collaborative manner
- Good interpersonal skills to work with multiple teams within the business unit and across the organization
Required Skills : Data Warehouse
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Employment Type
Full-time
