Lead Data Engineer
Reprise Financial- Location
- Dallas, Texas
- Workplace
- Remote
- Employment
- Full Time
- Salary
- USD 135,000–160,000/yr
Posted 4mo ago
The employer’s full description could not be read from their board. This is a summary of the posting — follow the apply link for the original.
Responsibilities
- Design, develop, and maintain Data Architecture and ETL processes
- Design, build, and maintain data pipelines and ETL jobs
- Architect and deliver modern data solutions
- Develop, integrate, test, deploy and maintain scalable ETL pipelines and workflows
- Integrate data utilizing industry standard file formats
- Identify, design, and implement internal process improvements
- Document ETL processes, data flows, and system integrations
Requirements
- 8+ years of experience in a Lead Data Engineer, Data Engineer, and/or Data Architect role
- Experience one or more Data Architecture Domains: BI Architect, Analytics Architect, Data Architect, Data Integration/ETL Architect, Data Governance Architect, and/or Cloud Architect
- Bachelor's or Master's degree in Computer Science, Information Systems, Data Science, or relevant technical degree
- Strong knowledge of data warehouse and lakehouse concepts
- Experience with cloud data platforms like Microsoft Azure, Microsoft Fabric, Amazon Web Services, Google Cloud Platform, and Snowflake
- Proficient with building ETL processes using tools such as SSMS, SSIS, Azure Data Factory, and Fabric Data Factory
- Proficient with SQL, Spark SQL, PySpark, and Python working with relational databases
Preferred
- Experience in the finance industry, specifically in loan origination and servicing
- Experience with cloud migration from on-prem or from another cloud platform
- Confluence experience is a plus
- Knowledge of financial data structures, including loan origination, servicing, payments, and collections is a plus
Skills
- Microsoft Azure
- Microsoft Fabric
- SSMS
- SSIS
- Azure Data Factory
- Fabric Data Factory
- SQL Server
- Oracle
- XML
- XSL
- JSON
- SFTP
- REST APIs
- SQL
- Spark SQL
- PySpark
- Python
- T-SQL
- Snowflake
- Amazon Web Services
- Google Cloud Platform
- JIRA
- Azure Boards
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