Enterprise Data Engineer

Trustmark; Ridgeland (MS); On-site; USD 80,000 - 120,000; Full time

Job summary

Trustmark Bank in Ridgeland, MS seeks a data infrastructure professional to design, evaluate, assemble, and test data systems meeting business requirements.

Responsibilities include building scalable data ingestion and processing pipelines, developing models for classification, and implementing NLP modules while maintaining data quality and governance. Strong SQL/Python skills and collaboration are essential.

Qualifications

• Bachelor's in Data or CS or equivalent certification.
• 4 years of experience with modern ETL platforms.
• Strong knowledge of relational databases, data warehousing & modeling.
• Proficiency in SQL, Python, or similar languages.
• Ability to work independently and in a team.
• Clear oral and written communication skills.
• Advanced computer skills and data warehouse expertise.
• Master’s degree in data or CS preferred.

Responsibilities

• Design, evaluate, assemble and test data infrastructures to meet business requirements.
• Build and maintain systems that collect and process data according to needs.
• Develop models for classification and information extraction from data.
• Handle data housekeeping, cleansing, normalization and schema changes.
• Develop NLP software modules.
• Troubleshoot using advanced techniques and propose solutions.
• Perform additional duties as assigned.

Skills

ETL platforms experience

SQL

Python

Analytical thinking

Problem-solving

Oral and written communication

Teamwork

Independent work

Education

Bachelor's degree in Data or Computer Science

Master’s degree relevant to data or computer sciences

Tools

IBM Datastage

Informatica

Snowpipe

Azure

AWS

Job description

Overview

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.

Qualifications

• 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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