RCN Capital is looking for a Data Engineer to join our Business Intelligence team. As a BI Developer, you will be responsible for designing, developing, and maintaining data pipelines and systems that support our business intelligence and analytics initiatives. You will work closely with cross-functional teams to ensure data is accessible, reliable, and optimized for performance. You will also collaborate with other Bl team members and stakeholders to provide data-driven insights and solutions for our business.
Job Responsibilities
-Design, develop, and maintain data pipelines and ETL processes using Python and SSIS to extract, transform, and load data from various sources, such as SQL Server, MySQL, Excel, Sm.
- Implement and manage data integration solutions using Microsoft Bl tools such as Power
BI, Azure Data Factory, and SQL Server Integration Services (SSIS).
- Develop and optimize data models and databases to support reporting and analytics
- Collaborate with business stakeholders to understand data requirements and deliver solutions that meet their needs.
- Ensure data quality, integrity, and security across all data systems
- Monitor and troubleshoot data systems to ensure optimal performance
- Creating and optimizing queries, views, stored procedures, and functions to support reporting and analysis needs
- Exploring and evaluating new data sources and technologies to enhance our data capabilities and improve our data efficiency
- Stay up-to-date with the latest trends and technologies in data engineering and business intelligence.
Required Experience</p>
- Proficient in Python and SQL
- Experience with ETL tools, such as SSIS or similar
- Experience with Tableau or Power BI
- Experience with Power Bl or other reporting tools
- Experience with SQL Server and MySQL databases
- Experience with Excel and Smartsheets data sources
- Strong analytical and problem-solving skills
Required Skills:
- At least 3 years of experience in data engineering or related roles
- Experience with Tableau or Power BI
Preferred Skills:
- Experience with Al or machine learning applications in BI
- Experience with cloud platforms, such as Azure or AWS
- Experience with data warehousing and dimensional modeling techniques.
Preferred Experience:
- Experience with Power BI
- Microsoft Certified:
Azure Data Fundamentals
Azure Al Engineer Associate
Azure Data Scientist Associate
Working hours: Monday to Friday 8:30am - 5:30pm EST