Senior Business Intelligence Consultant

Yoush Consulting

$90K — $120K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years as a Data Engineer, especially with Microsoft Azure tools
  • Experience with Azure Data Factory and Azure Synapse Analytics
  • Proficiency in SQL and scripting languages like Python
  • Strong grasp of data modeling and database design
  • Familiarity with data warehousing concepts and methodologies
  • Knowledge of ETL tools and data integration processes

Responsibilities

  • Review and assess the enterprise data warehouse to improve scalability and performance
  • Design and develop SSIS ETL processes utilizing table partitioning
  • Create Power BI reports to track SSIS package performance over time
  • Analyze data and improve SQL Queries and Stored Procedures for performance
  • Implement operational processes for SQL Server database upgrades and migrations

Benefits

  • Opportunity to work with cutting-edge Azure technologies
  • Collaborative environment that encourages feedback and innovation
  • Professional development opportunities in data engineering and ETL processes
  • Access to advanced tools for data warehousing and analytics
  • Support for ongoing training and certifications in relevant technologies
Full Job Description
Job Description

Azure DevOps Engineer with D365 and F&O experience

As a Data Engineer, you will be responsible for building and maintaining the systems and processes that allow for the extraction, transformation, and loading (ETL) of data from various sources into our Azure-based data ecosystem.

Responsibilities

  • Provide a detailed review and assessment of the enterprise data warehouse environment and proposed changes and implementation plan to improve scalability and performance
  • Design and develop SSIS ETL process using table partitioning with a focus on performance improvement of large tables
  • Design and develop Power BI reports to show SSIS package run duration and trend over time
  • Perform data analysis and provided suggestions and feedback to the team to design and develop optimized SQL Queries and Stored Procedures (SCD Type1, SCD Type2 using Hash bytes) to improve performance
  • Design and implement an operational process to provide a high-level summary of SQL Server and database environment to assist in the upgrade and migration of SQL Server databases to newer versions


Requirements
• 3+ Proven experience as a Data Engineer, with a focus on Microsoft Azure technologies.
• Experience with Azure Data Factory, Azure Synapse Analytics, Azure Stream Analytics, Azure Event Hubs, OneLake, and MS Fabric
• Proficient in SQL and scripting languages (e.g., Python).
• Strong understanding of data modeling and database design principles.
• Experience with data warehousing concepts and methodologies.
• Familiarity with data integration and ETL tools.
• Excellent problem-solving and communication skills.

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