Data Engineer II - ETL/ELT

Job description

Overview

This is a remote role that may only be hired in the following location(s): North Carolina, Texas, Arizona & Florida. The position is responsible for designing, developing, and maintaining data pipelines and infrastructure. This role implements data integration, processing, and analytics solutions while collaborating with cross-functional teams to deliver efficient and scalable data systems.

Responsibilities & Qualifications

Duties & Responsibilities: Data Pipelines

• Design, develop, and maintain data pipelines for efficient data processing and integration for real-time and batch-processing. Implement and optimize ETL processes to extract, load, transform and integrate data from various sources. Enhance data flows and storage solutions for improved performance

Data Warehousing

• Design and implement data warehouse structures. Ensure data quality and consistency within the data warehouse. Apply data modeling techniques for efficient data storage and retrieval Data Governance, Quality & Compliance
• Implement data governance policies and procedures. Implement data quality frameworks, standards and documentation. Ensure compliance with relevant data regulations and standards

Security & Access Management

• Implement data security measures and access controls. Maintain data protection protocols

Performance Optimization and Troubleshooting

• Analyze and optimize system performance for large-scale data operations. Troubleshoot data issues and implement robust solutions

Testing & Automation

• Write unit test cases, validate the data integrity & consistency requirements, adopt automated data pipelines using GitLab, Github, CICD tools.

Code Deployment & Release Management

• Adopt release management processes to promote code deployment to various environments including production, disaster recovery, and support activities.

Cross-Functional Collaboration

• Collaborate with data scientists, analysts, and other teams to understand and meet data requirements.

Participate in cross-functional projects to support data-driven initiatives Qualifications Bachelor's Degree and 2 years of experience in Data engineering, data technologies, cloud platforms OR High School Diploma or GED and 6 years of experience in Data engineering, data technologies, cloud platforms Preferred Qualifications: Qualified candidates will have proven, hands-on production experience with most of the following: Building data pipelines using

Medallion Architecture patterns Data ingestion using Qlik Replicate (snapshot, CDC, batch) Python development for data pipeline components dbt Cloud transformations, testing, and SQL development Snowflake ingestion and processing (Snowpipe, Tasks, Stored Procedures) RBAC and data masking concepts in Snowflake Cloud-native development on AWS or equivalent Azure platforms Experience with CI/CD pipelines (GitLab, GitHub

Actions, etc.) Observability and monitoring tools such as Splunk or Dynatrace Experience in regulated or governance-heavy environments Relevant cloud or data platform certifications #LI-JM1 Additional Information Benefits are an integral part of total rewards and First Citizens Bank is committed to providing a competitive, thoughtfully designed and quality benefits program to meet the needs of our associates.

More information can be found at https://jobs.firstcitizens.com/benefits .