Overview:
The purpose of this position is to design, evaluate, assemble, and test data infrastructures to meet business requirements.
- 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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Bachelor's degree in data or computer science or equivalent certification, 4 years with modern ETL platforms, database, data warehousing, modeling, SQL, Python, and advanced analytical skills.
Key Responsibilities
- building infrastructures
- analyzing data
- developing software
Skills & Tools
IBM Datastage, Informatica, Snowpipe, Azure, AWS, SQL, Python
Job Details
- Category: Data and Analytics
- Seniority: Mid Level
- Commitment: Full Time
- Workplace: Remote — Ridgeland or Alabama or Houston or Memphis or Florida or Atlanta
- Languages: English
About Trustmark Bank
A financial institution providing banking and related financial services. — Industry: Finance