Software Data Engineer II

Overview

This is a remote role that may only be hired in the following locations : NC, AZ, TX, FL, OH

Enterprise data warehouse supports several critical business functions for the bank including Regulatory Reporting, Finance, Risk steering, and Customer 360. This role is vital for building and maintaining enterprise data platform, data processes, and to support business objectives.

Serves as production system support by resolving issues and ensuring ongoing functionality. May oversee the work of less experienced analysts or assist in special projects as needed.

Responsibilities

Responsible for designing, building, and maintaining data platform that supports data integrations for Enterprise Data Warehouse, Operational Data Store or Data Marts etc. with appropriate data access, data security, data privacy and data governance.

Establish enterprise-scale data integration procedures, data pipelines and frameworks across the data development life cycle. Suggest and implement appropriate technologies to deliver resilient, scalable, and future-proof data solutions.

Create data ingestion pipelines in data warehouses and other large-scale data platforms.

Creating scheduled as well as trigger-based ingestion patterns using scheduling tools.

Create performance optimized DDLs for any row-based or columnar databases such as Oracle, Postgres, Netezza database per Logical Data Model.

Performance tuning of complex data pipelines and SQL queries.

Performs impact analysis of proposed changes on existing architecture, capabilities, system priorities, and technology solutions.

Manage deliverables of developers, perform design reviews and coordinate release management activities.

Estimate and provide timelines for project activities. Identify, document, and communicate technical risks, issues and alternative solutions discovered during project.

Drive automation, identify inefficiencies, optimize processes and data flows, and recommend improvements.

Use agile engineering practices and various data development technologies to rapidly develop and implement efficient data products.

Collaborate with Product Owners to understand PI goals, PI planning, requirement clarification, and delivery coordination.

Technical support for production incidents and failures

Work with global technology teams across different time zones (primarily US) to deliver timely business value.

Qualifications

Bachelor's Degree and 2 years of experience in Application software programming OR High School Diploma or GED and 6 years of experience in Application software programming

Preferred : Functional Skills :

Team Player : Support peers, team, and department management.

Communication : Excellent verbal, written, and interpersonal communication skills.

Problem Solving : Excellent problem-solving skills, incident management, root cause analysis, and proactive solutions to improve quality.

Partnership and Collaboration : Develop and maintain partnership with business and IT stakeholders

Attention to Detail : Ensure accuracy and thoroughness in all tasks.

Technical / Business Skills :

Data Engineering :

Experience in designing and building Data Warehouse and Data lakes. Good knowledge of data warehouse principles, and concepts.

Technical expertise working in large scale Data Warehousing applications and databases such as Oracle, Netezza, Teradata, and SQL Server.

Experience with public cloud-based data platforms especially Snowflake and AWS.

Data integration skills :

Expertise in design and development of complex data pipelines

Solutions using any industry leading ETL tools such as SAP Business Objects Data Services (BODS), Informatica Cloud Data Integration Services (IICS), IBM Data Stage.

Experience of ELT tools such as DBT, Fivetran, and AWS Glue

Expert in SQL - development experience in at least one scripting language (Python etc.), adept in tracing and resolving data integrity issues.

Strong knowledge of data architecture, data design patterns, modeling, and cloud data solutions (Snowflake, AWS Redshift, Google BigQuery).

Data Model : Expertise in Logical and Physical Data Model using Relational or Dimensional Modeling practices, high volume ETL / ELT processes.

Performance tuning of data pipelines and DB Objects to deliver optimal performance.

Experience in Gitlab version control and CI / CD processes.

Experience working in Financial Industry is a plus.

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.

Company Description :

Founded in 1898 and headquartered in Raleigh, N.C., First Citizens Bank serves customers in 18 states and the District of Columbia. For over 100 years, customers have trusted First Citizens with their money … and their futures. Today, First Citizens is the largest family-controlled bank in the nation and the sixth-largest bank franchise headquartered in the Southeast with more than $30 billion in assets. We employ more than 6,000 associates who are focused on helping our customers achieve a lifetime of success. First Citizens operates more than 570 branches in Arizona, California, Colorado, District of Columbia, Florida, Georgia, Kansas, Maryland, New Mexico, Missouri, North Carolina, Oklahoma, Oregon, South Carolina, Tennessee, Texas, Virginia, Washington and West Virginia.

First Citizens Bank. Forever First®. Member FDIC.

Equal Opportunity / Affirmative Action Employer / Minority / Female / Disability / Veteran

If you need special assistance or an accommodation in applying for employment at First Citizens Bank, please contact our Human Resources department.