Data Engineer
Accodian LLC
New York, NY, United States
3 days ago
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Role details
Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source
Tech stack
Code Review
Data Validation
Extract Transform Load (ETL)
Data Mart
Data Mining
Data Systems
Data Warehousing
Dimensional Modeling
Microsoft SQL Server
SQL Azure
Microsoft Business Intelligence
Performance Tuning
+20 more
Query Optimization
Power BI
Standard Sql
Software Deployment
SQL Stored Procedures
SQL Databases
SQL Server Reporting Services
SQL Server Agent
SQL Server Integration Services
SQL Server Analysis Services
Transact-SQL
Data Logging
Data Processing
Freeform SQL
Azure Data Factory
Microsoft Fabric
Information Technology
Tools for Reporting
Software Version Control
Ssas Tabular
Job description
- Design, develop, and maintain ETL packages using SQL Server Integration Services (SSIS).
- Develop and optimize complex SQL queries, stored procedures, functions, views, and indexes.
- Design, develop, and maintain reports and dashboards using SQL Server Reporting Services (SSRS).
- Develop and maintain analytical models, cubes, and measures using SQL Server Analysis Services (SSAS).
- Work with data warehouses, dimensional modeling, fact and dimension tables, and data marts.
- Perform data extraction, transformation, loading, validation, and reconciliation.
- Troubleshoot performance issues across SQL queries, ETL workflows, and reporting solutions.
- Collaborate with business analysts, data engineers, and stakeholders to understand reporting requirements.
- Support production deployments, incident resolution, and ongoing maintenance of BI applications.
- Ensure data accuracy, consistency, security, and adherence to development standards.
- Prepare technical documentation and participate in code reviews and testing activities.
Requirements
- 5+ years of experience in Microsoft Business Intelligence development.
- Strong hands-on experience with SSIS, SSRS, and SSAS.
- Advanced knowledge of Microsoft SQL Server and T-SQL.
- Experience developing complex stored procedures, views, functions, and query optimization techniques.
- Strong understanding of ETL/ELT processes and data warehouse concepts.
- Experience with dimensional modeling, star and snowflake schemas, and data marts.
- Knowledge of data validation, error handling, logging, and incremental data loads.
- Experience with SQL Server Agent jobs, scheduling, monitoring, and troubleshooting.
- Familiarity with source control, deployment processes, and production support.
Preferred Qualifications
- Experience with Power BI and integration with SQL Server-based data solutions.
- Exposure to Azure Data Factory, Azure SQL, or Microsoft Fabric.
- Knowledge of SSAS Tabular and Multidimensional models.
- Experience with performance tuning and large-volume data processing.
- Familiarity with Agile/Scrum development methodologies., Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field, or equivalent practical experience., The ideal candidate is a hands-on MSBI professional with strong SQL and ETL development skills, analytical problem-solving abilities, and experience delivering reliable enterprise reporting and data warehouse solutions.
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