Enterprise Data Engineer Sr.

First Horizon Bank•Memphis, TN

1d•Onsite

About The Position

The Enterprise Data Engineer position on the Enterprise Data Solutions team is part of our Corporate Systems, Enterprise Architecture and Information Management department within Enterprise Technology. The role is responsible for establishing, expanding and optimizing our Enterprise Analytical Data Platform and associated data pipeline architecture, as well as optimizing data flow for cross-functional analytical teams. The Data Engineer will work with our software developers, database architects, data analysts and data scientists on initiatives and will ensure the data delivery architecture is efficient and consistent. The Enterprise Data Engineer works in a self-directed fashion, concurrently supporting the data needs of multiple teams, systems, and products. This role understands complex source system data structures and implements models, patterns, and solutions in both ‘big data’ and traditional data warehouse platforms.

Requirements

5+ Years in IT - Software development and Engineering
5 Years in Big Data and Analytics (Spark/Pyspark)
5 Years’ experience with Databricks or equivalent cloud data platform
5 Years’ experience working with advanced Structured Query Language (SQL) and relational databases, query authoring as well as working familiarity with a variety of other database engines, including MS SQL Server, IBM DB2 and Oracle
5 Years’ experience working with online cloud providers (e.g., Azure, AWS, Google)
3 years’ experience using programming languages Python or Scala
3 Years working with unstructured datasets
Strong project delivery and organizational skills
Experience supporting and working with cross-functional teams in a dynamic environment
Demonstrated inter-personal and consultative skills to work with business and IT stakeholders
Ability to explain, promote and evangelize about data solutions

Responsibilities

Consultative solution development in collaboration with business and IT stakeholders
Assemble large, complex data sets that meet functional / non-functional business requirements
Develop and maintain an optimized Enterprise Data Pipeline architecture
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Develop, maintain and support Data Solutions using both Spark and SQL
Design, configures/code, test, debug and document software/solution according to Industry best practices
Work with Enterprise Architects and Data Governance to help in data ingestion, staging, data quality monitoring
Preparation of design/technical/functional/operational specification documentation
Work with stakeholders and design teams to assist with data-related technical issues and support their data platform needs
Develop platform strategies and patterns for Data Integration, Delivery, Partitioning and Access Control
Identify, design, and implement internal process improvements, such as: o Automating manual processes o Optimizing data delivery o Re-designing or aligning infrastructure for greater scalability
Mentor and provide guidance on data solutions and patterns