Bring your passion for data to help build a modern enterprise data platform for our client, a bank based in McKinney TX. You will design, develop, and maintain data pipelines, integrating data from various core systems including banking, Salesforce CRM, and mortgage platforms.
Key Responsibilities
- Design, develop, and maintain data pipelines to support enterprise data products in Azure and legacy systems.
- Apply strong data modeling practices for raw, canonical, and semantic data zones.
- Integrate data from core banking systems, Salesforce CRM, and mortgage origination and servicing platforms.
- Utilize a mix of legacy and modern platforms, including MS-SQL, Snowflake, and Azure SQL DB.
- Leverage ETL tools like SSIS, ADF, and DBT for data transformation.
- Follow CI/CD practices using Azure DevOps and ADO.
- Use container tools such as AKS to manage the data lifecycle.
Qualifications
- Bachelor’s degree in computer science, Information Technology, or a related field.
- 5+ years of experience in data engineering with SQL & Azure.
- 3+ years of experience in SQL Programming Knowledge
- 3+ years of experience in programming in Python or Java or C#
- Proficiency in MS-SQL, Snowflake, and Azure SQL DB.
- Hands-on experience with ETL tools such as SSIS, ADF, and DBT.
- Familiarity with CI/CD tools like Azure DevOps (ADO).
- Experience with container tools, specifically AKS.
- Experience with streaming processing technologies – Kafka, Spark Streaming, Azure Service Bus
- Willingness and ability to work onsite in McKinney or Plano TX 3 days per week with 2 days remote.
To apply for this job email your details to thane@arlensa.com