What are the responsibilities and job description for the Senior Data and BI Engineer position at Cynet Systems?
We are looking for Senior Data and BI Engineer for our client in Charlotte NC.
Job Title: Senior Data and BI Engineer
Job Location: Charlotte NC
Job Type: Contract
Job Overview:
Requirement/Must Have:
- 10 years in Data Engineering / BI / Database Development.
- Strong experience in enterprise data environments and production systems.
- Proven track record in performance optimization and large-scale data handling.
Responsibilities:
- Design and develop interactive dashboards and reports using Power BI and Tableau.
- Build visually compelling insights using charts, maps, heatmaps, and advanced visualizations.
- Develop complex DAX calculations, KPIs, and time intelligence metrics.
- Create and manage calculated fields and advanced analytics logic.
- Publish reports to Power BI Service and manage data refresh schedules.
- Implement Row-Level Security (RLS) to control access.
- Design and implement data models (relationships, hierarchies, calculated columns).
- Perform data extraction, transformation, and loading using Power Query, SSIS, and Informatica.
- Build scalable and efficient data warehouse solutions.
- Work with structured and semi-structured data including SQL Server and MongoDB.
- Develop and optimize complex T-SQL queries, stored procedures, triggers, and functions.
- Design and maintain database objects (tables, views, indexes).
- Perform query optimization and performance tuning.
- Implement indexing and partitioning strategies to improve performance.
- Manage SQL Server environments (2008/2012/2016 & Azure SQL).
- Monitor and maintain production systems ensuring high availability and reliability.
- Handle incident management, RCA, and ticket tracking (ServiceNow/JIRA).
- Support code deployment, release management, and production fixes.
- Perform environment monitoring (SIT, UAT, Prod) and validations.
- Implement backup and recovery strategies (full, differential, log backups).
- Design and test disaster recovery plans.
- Perform regular maintenance: index rebuilds, statistics updates, patching.
- Set up monitoring tools for database health and performance.
- Lead data migration initiatives from legacy systems to modern platforms.
- Optimize large datasets using advanced data structures and indexing techniques.
- Improve query performance and reduce load times significantly.
- Participate in full SDLC lifecycle (requirements design development testing deployment).
- Create Functional Specification Documents (FSDs) and technical documentation.
- Gather requirements and convert them into JIRA stories and deliverables.
- Collaborate with cross-functional teams in agile environments.
- Maintain documentation in Confluence.
Nice to Have:
- Experience in financial services / large enterprise environments.
- Strong analytical mindset with focus on data-driven decision making.
Skills:
- Power BI (DAX, Power Query, Data Modeling, RLS).
- Tableau (Dashboarding, Calculated Fields, Visual Analytics).
- SQL Server (T-SQL, Performance Tuning, Database Design).
- ETL Tools: SSIS, Informatica.
- Reporting Tools: SSRS, Crystal Reports.
- SQL Server (On-Prem & Azure SQL).
- Oracle Database.
- MongoDB (basic knowledge).
- Windows Server environments.
- Python (basic to intermediate knowledge).
- Autosys, JIRA, ServiceNow.
Qualification And Education:
- Excellent communication and documentation skills.
- Highly proactive and detail-oriented.
- Strong problem-solving and troubleshooting skills.
- Ability to work under pressure in production environments.
- Continuous learner with passion for emerging data technologies.