The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements.
Responsibilities- Builds and maintains complex systems and infrastructures that collect and process data according to company needs and goals.
- Builds, evolves, and scales out infrastructure to ingest, process and extract meaning from data.
- Designs, develops, and implements mathematical or statistical models to carry out various novel aspects of classification and information extraction from data.
- Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model changes. Analyzes data to spot anomalies, trends, and correlate similar data sets.
- Designs, develops, and implements natural language processing software modules.
- Uses advanced techniques, theories, and processes to troubleshoots problems, identifies possible solutions, and resolves accordingly.
- Associates are expected to perform all additional duties as assigned.
- Bachelor's degree in Data or Computer Science, or equivalent certification.
- 4 years of experience with modern ETL platforms, such as IBM Datastage, Informatica, Snowpipe, Azure, AWS, etc.
- Strong knowledge of relational databases, data warehousing and data modeling concepts
- Moderate to advanced proficiency in database languages such as SQL, Python, etc.
- Use of advanced techniques, theories, and processes to complete work
- Competency and capability to perform work independently, and in team environment
- Oral and written communication skills
- Advanced computer skills
- Technical expertise with data warehouse tools
- Analytical thinking skills
- Problem-solving skills
- Master’s degree relevant to data or computer sciences or equivalent certification preferred.
Physical Requirements/Working Conditions: Must be able to sit for long periods of time and use computer keyboard and/or mouse, while viewing computer screens.
Disclaimer: Management retains the right to add, delete or modify the responsibilities and qualifications of the position at any time.
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Skills Required
- Bachelor's degree in Data Science, Computer Science, or equivalent certification
- Four years of experience with modern ETL platforms such as IBM DataStage, Informatica, Snowpipe, Azure, or AWS
- Strong knowledge of relational databases, data warehousing, and data modeling
- Moderate to advanced proficiency in SQL and Python
- Advanced techniques, theories, and processes for completing technical work
- Ability to work independently and in a team environment
- Oral and written communication skills
- Advanced computer skills
- Technical expertise with data warehouse tools
- Analytical thinking and problem-solving skills
- Master's degree relevant to data or computer science, or equivalent certification
Trustmark Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Trustmark Bank and has not been reviewed or approved by Trustmark Bank.
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Retirement Support — Offerings include a 401(k) with company match and an employee stock purchase plan, supporting long‑term savings and retirement readiness.
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Leave & Time Off Breadth — Paid vacation, sick leave, and defined holidays provide predictable time away and help balance work and life.
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Wellbeing & Lifestyle Benefits — Banking perks, tuition reimbursement, and structured training and development add non‑cash value beyond base pay.
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