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The Data Engineer role offers the opportunity to become part of a team of Business Intelligence Developers and Data Engineers, working on optimization, reliability, and robust business intelligence capabilities. The position involves collaborating on data governance projects, developing SQL Server and Snowflake Data Warehouses, and working with ETL pipeline processes.
Job Responsibility:
Collaborate and support organizational data development projects, working closely with the Business Intelligence and Business Analysts Teams
Develop and maintain SQL Server and Snowflake Data Warehouses and Data Lakes with a focus on data governance, security, and performance optimization
Manage and optimize database solutions within Snowflake, SQL Server, MySQL, and AWS RDS environments
Build and optimize ETL pipeline processes using Snowpipe, DBT, Boomi, SSIS and/or Azure Data Factory
Proficiency in Data Tools such as SSMS, Profiler, Query Store, Redgate, etc.
Perform light operational tasks, including database backup & restore
Help ensure and maintain database security, integrity, and compliance following the industry’s best practices
Configure and manage data integration platforms and business intelligence tools, ideally including Power BI, Tableau, Power Automate, and scripting languages like Python or R.
Requirements:
7+ years of hands-on experience working as Microsoft SQL Server Developer or Administrator, with hands-on experience developing relational and object-oriented databases
2+ years of hands-on experience working with Snowflake data warehouses and data lake environments
Hands-on experience developing databases, pipelines, and reporting solutions using BI Reporting & ETL tools such as Power BI, SSRS, SSIS, Azure Data Factory, DBT and other similar industry tool sets
Proven mastery of Microsoft SQL Server, including t-SQL
Proficiency with scripting and automation, including Python, PowerShell, or R
Experience with, and knowledge of, data integration and analytic tools such as Boomi, Redshift, or Databricks is desirable
Excellent communication and organizational skills.
Nice to have:
Experience with, and knowledge of, data integration and analytic tools such as Boomi, Redshift, or Databricks.
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