Data Engineer I
Simmons Bank
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- Location
- Little Rock, AR
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 13
- 6 days ago
Career path
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About the company
Simmons Bank
Banking · 1,001 to 5,000 employees
What you'll do
- Build and maintain ETL pipelines, automate data collection and preprocessing, integrate data into warehouses, and perform data cleansing and validation.
- Monitor data quality, document processes, and help develop reliable data engineering solutions.
What you need
- Requires a bachelor's degree in computer science, information technology, engineering, or a related field and 1-4 years of hands-on data engineering project experience.
- Relevant technology certifications are listed.
- Education: a bachelor's degree or a professional certificate
Key skills
Microsoft Power FxPowerShellDAXSQLSharePoint OnlineOneDrivePowerBIDataverseMicrosoft SQL ServerPowerAppsPower AutomatePower BIApache AirflowLuigiAgile Delivery model
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It's fun to work in a company where people truly BELIEVE in what they're doing!
We're committed to bringing passion and customer focus to the business.
The Data Engineer I is responsible for designing, developing and delivering effective data solutions for different business units. This position requires advanced level knowledge of Microsoft Power Platform and cloud native services for building data engineering pipelines and data products in alignment with architecture and best practices. They will collaborate with cross-functional teams to develop and manage scalable and reliable data engineering solutions.
Job Description
Simmons Bank invites you to collaborate in an agile team of peers developing and supporting on-premises & cloud-based analytics platform integrating data from a broad number of systems to enable next-gen analytical products.
The Data Engineer I is responsible for designing, developing and delivering effective data solutions for different business units. This position requires advanced level knowledge of Microsoft O365 Power Platform and cloud native services for building data engineering pipelines and data products in alignment with architecture and best practices. They will collaborate with cross-functional teams to develop and manage scalable and reliable data engineering solutions.
Essential Duties and Responsibilities
Assist in building and maintaining ETL (extract, transform, load) pipelines.
Write basic scripts to automate data collection and preprocessing tasks.
Integrate data from various sources into data warehouses.
Ensure data quality and consistency across different datasets.
Perform data cleansing and validation tasks. Monitor data quality and report issues to senior team members. Work under the guidance of senior data engineers and data scientists. Assist in documenting processes and maintaining technical documentation.
Performs other duties and responsibilities as assigned.
Qualifications
To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required.
Skills
Programming Languages: Proficiency in languages like Microsoft Power Fx, PowerShell, DAX, SQL
Familiarity with SQL for database querying.
Familiarity with O365 data products (e.g., SharePoint Online, OneDrive, PowerBI, Dataverse)
Understanding of relational databases (e.g., Microsoft SQL Server)
Basic understanding of data warehousing concepts.
Familiarity with Microsoft Power Platform tools and services PowerApps, Power Automate, Power BI
Knowledge of ETL (Extract, Transform, Load) processes.
Basic understanding of cloud services (AWS, Azure, Google Cloud Platform) & Familiarity with data services offered by these platforms.
Understanding of building and maintaining data pipelines. - Familiarity with workflow orchestration tools like Apache Airflow or Luigi.
Knowledge & experience of working in Agile Delivery model
Education and/or Experience
Bachelor's degree in computer science, Information Technology, Engineering, or a related field AND 1-4 years of practical hands-on experience with data engineering projects
Certificates, Licenses, Registrations
Certifications in relevant technologies or tools (PL‑900 (Fundamentals), PL‑400/AB‑400 (Developer Associate), AB‑410 (Intelligent Applications Builder), PL‑300 (Power BI Data Analyst ) ).
Banking certification or experience a plus
Other Qualifications (including physical requirements)
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the employee for this job. Activities, duties, and responsibilities may change at any time with or without notice.
Skills Training:
Problem-Solving - Ability to identify and solve technical issues.
Analytical thinking for data-related problems.
Careful handling of data to ensure accuracy and integrity.
Ability to explain technical concepts to non-technical stakeholders.
Effective collaboration with team members.
Ability to work in a team environment.
Willingness to learn from senior team members and contribute to team goals.
Equal Employment Opportunity Information: Simmons First National Corporation and its subsidiaries are committed to a policy of equal employment with respect to a person's race, color, religion, sex, ancestry, sexual orientation, gender identity, national origin, covered veterans, military status, physical or mental disability or any other legally protected classifications.