The company is looking to build, analyze, and optimize data solutions, including SQL queries, stored procedures, and ETL workflows, to deliver accurate, actionable insights and ensure seamless data integrations.
Requirements
- Proficiency in in HTML, XML, XPath, XSLT, and Regular Expressions for data extraction and transformation
- Experience with Visual Studio
- Strong proficiency in MSSQL, including query building, stored procedure development, and performance tuning.
- Experience with SSIS and ETL workflow design.
- Familiarity with C-Sharp and .NET framework for integration enhancements.
- Understanding of API integration concepts and data exchange between systems.
- Knowledge of Python and JavaScript for automation and scripting a plus.
Responsibilities
- Design, develop, and test web scraping solutions using the Scrapy framework, integrated with tools such as Kafka, Zookeeper, and Redis
- Build, optimize, and maintain SQL queries and stored procedures for data extraction and reporting.
- Design, develop, and maintain ETL workflows using SSIS for data integration.
- Perform data analysis to identify trends, patterns, and actionable insights.
- Implement and enhance .NET integration solutions to improve data processes.
- Work with API integrations to automate data flow across systems.
- Ensure data quality, accuracy, and performance optimization.
Other
- 2-5 years of professional software development experience.
- Strong analytical and problem-solving skills with attention to detail.
- Ability to work independently and collaboratively in a team environment.
- Excellent verbal and written communication skills.
- Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
