Business Intelligence Developer (Only USC and GC)
Position: Mid-Senior Level Business Intelligence Developer
Location: Remote (must be based in the US and attend meetings as per Eastern Time Zone)
Responsibilities:
ā¢ Design, develop, and optimize SQL queries, stored procedures, and ETL/ELT pipelines for data integration.
ā¢ Build and maintain BI reports and dashboards using SSRS, with the ability to adapt skills to modern, cloud-based BI platforms (e.g., Power BI, Amazon QuickSight, or similar) as business needs grow.
ā¢ Manage data models and data warehouse structures to support accurate, scalable reporting.
ā¢ Deliver ad hoc and self service reporting solutions that empower business stakeholders.
ā¢ Ensure data quality, security, and compliance across BI solutions.
ā¢ Collaborate with analysts, developers, and QA teams in an agile environment to translate requirements into actionable BI deliverables.
ā¢ Support releases with documentation, deployment scripts, and testing assistance.
ā¢ Identify opportunities to improve automation, reporting efficiency, and adoption of cloud based and AI enhanced BI practices.
General Experience:
ā¢ BE or BS Degree in Computer Science, Information Technology or related field preferred or relevant experience.
ā¢ 3+ years of experience developing reports with SSRS or another enterprise BI/reporting tool.
ā¢ 5+ years SQL Server experience (2017+ preferred), with strong skills in query design, optimization, and troubleshooting.
ā¢ Experience using Git or similar version control tools in collaborative development environments.
ā¢ Practical experience with ETL/ELT development and data warehouse architecture.
ā¢ Experience working with large databases and BI projects in agile environments.
ā¢ Proven ability to develop dashboards and analytics using modern, cloud based BI platforms (e.g., Power BI, QuickSight, or similar).
ā¢ Strong communication, collaboration, and problem-solving skills.
ā¢ Self-motivated, detail oriented, and able to prioritize tasks to meet deadlines.
Preferred Experience:
ā¢ Experience applying data visualization best practices and advanced analytics techniques.
ā¢ Familiarity with cloud data platforms such as Snowflake, Azure Synapse, or BigQuery.
ā¢ Hands on exposure to cloud based ETL tools (e.g., AWS Glue, Azure Data Factory, or similar).
Please share your resume with [email protected]
Apply Now
Apply Now
Location: Remote (must be based in the US and attend meetings as per Eastern Time Zone)
Responsibilities:
ā¢ Design, develop, and optimize SQL queries, stored procedures, and ETL/ELT pipelines for data integration.
ā¢ Build and maintain BI reports and dashboards using SSRS, with the ability to adapt skills to modern, cloud-based BI platforms (e.g., Power BI, Amazon QuickSight, or similar) as business needs grow.
ā¢ Manage data models and data warehouse structures to support accurate, scalable reporting.
ā¢ Deliver ad hoc and self service reporting solutions that empower business stakeholders.
ā¢ Ensure data quality, security, and compliance across BI solutions.
ā¢ Collaborate with analysts, developers, and QA teams in an agile environment to translate requirements into actionable BI deliverables.
ā¢ Support releases with documentation, deployment scripts, and testing assistance.
ā¢ Identify opportunities to improve automation, reporting efficiency, and adoption of cloud based and AI enhanced BI practices.
General Experience:
ā¢ BE or BS Degree in Computer Science, Information Technology or related field preferred or relevant experience.
ā¢ 3+ years of experience developing reports with SSRS or another enterprise BI/reporting tool.
ā¢ 5+ years SQL Server experience (2017+ preferred), with strong skills in query design, optimization, and troubleshooting.
ā¢ Experience using Git or similar version control tools in collaborative development environments.
ā¢ Practical experience with ETL/ELT development and data warehouse architecture.
ā¢ Experience working with large databases and BI projects in agile environments.
ā¢ Proven ability to develop dashboards and analytics using modern, cloud based BI platforms (e.g., Power BI, QuickSight, or similar).
ā¢ Strong communication, collaboration, and problem-solving skills.
ā¢ Self-motivated, detail oriented, and able to prioritize tasks to meet deadlines.
Preferred Experience:
ā¢ Experience applying data visualization best practices and advanced analytics techniques.
ā¢ Familiarity with cloud data platforms such as Snowflake, Azure Synapse, or BigQuery.
ā¢ Hands on exposure to cloud based ETL tools (e.g., AWS Glue, Azure Data Factory, or similar).
Please share your resume with [email protected]
Apply Now
Apply Now