Database Developer

HonorVet Technologies
Minneapolis, United States of America
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 135K

Job location

Remote
Minneapolis, United States of America

Tech stack

Agile Methodologies
Azure
Big Data
Code Review
Databases
Data Conversion
Information Engineering
Data Integration
ETL
Database Development
DevOps
Github
Python
Microsoft SQL Server
Performance Tuning
Power BI
SQL Stored Procedures
SQL Databases
SQL Server Reporting Services
SQL Server Integration Services
T-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.

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