Database Developer

HonorVet Technologies

Minneapolis, MN, United States

21 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Compensation

$124,800.0 - $135,200.0

Working hours

Regular working hours

Job source

www.careerjet.com

Tech stack

Agile Methodology Microsoft Azure Big Data Code Review Databases Data Conversion Information Engineering Data Integration Extract Transform Load (ETL) Database Development DevOps Github

+15 more

Python (Programming Language) Microsoft SQL Server Performance Tuning Power BI SQL Stored Procedures SQL Databases SQL Server Reporting Services SQL Server Integration Services Transact-SQL Data Ingestion Indexer Pyspark Information Technology Tools for Reporting Jenkins

Job description

Design and maintain various databases, including stored procedures, indexing, and data models.
Develop and optimize ETL pipelines and workflows using SSIS, Python, PySpark, and SQL Server.
Execute large-scale data migrations, including cleansing, validation, and transformation across enterprise systems.
Develop and optimize SQL scripts and stored procedures to support data conversion, validation, and ongoing processing needs.
Build data ingestion and transformation workflows across raw, staging, curated, and analytics layers.
Build and maintain various reporting solutions using SSRS and PowerBI.
Design and implement logical and physical data models (ERDs) for various applications.
Develop stored procedures, views, SQL scripts, and other database components supporting transactional and reporting systems.
Provide production support, including troubleshooting performance issues and on-call support when needed.
Collaborate with cross-functional teams and participate in Agile ceremonies, development activities, code reviews, and release cycles.
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Requirements

10+ years of experience in database development or data engineering.
Expertise in SQL Server, T-SQL and performance tuning.
Experience with ETL tools (SSIS), Python, or PySpark.
Strong background in data modeling and data integration.
Experience with reporting tools (SSRS, PowerBI).
Working knowledge of DevOps tools such as Azure DevOps, GitHub, or Jenkins.
Experience supporting critical applications in financial, government, or legal industries.