EVI Industries, Inc.
The Data Engineer
is responsible for and has deep expertise in designing, building, and maintaining
scalable, high-performance data warehouses . The ideal candidate will have a proven track record of successful data warehouse implementations and have hands‑on experience integrating data across
Microsoft Dynamics 365 Business Central ,
Salesforce CRM , and
ADP Payroll . The position will play a critical role in our organization's journey toward a data-driven future.
Design and develop
robust and scalable data warehouse architectures to support business goals, reporting, and analytics needs.
Administer
and
tune
database systems (SQL Server, Azure SQL, or other platforms) to ensure high availability, performance, and security.
Integrate
disparate data sources (Business Central, Salesforce, ADP, etc.) into a centralized warehouse using ETL/ELT best practices.
Develop ETL pipelines
using tools such as Azure Data Factory, SSIS, or similar platforms.
Establish and enforce
data governance ,
quality , and
security protocols
across all systems.
Support business users and data analysts with optimized queries , views, and datasets for reporting.
Monitor and troubleshoot
database performance
issues and implement proactive optimizations.
Requirements 7+ years of experience in database administration and data warehouse development.Proven track record of delivering performance-optimized data warehouses at scale.
Strong SQL expertise with experience in query optimization, indexing, partitioning, and replication.
Proficient with ETL tools such as Azure Data Factory, SSIS, or equivalent.
Familiarity with cloud-based data platforms (e.g., Azure Synapse, AWS Redshift, Snowflake).
Understanding of data modeling principles (star/snowflake schema).
Excellent problem-solving skills, attention to detail, and communication abilities.
Bachelor’s degree in computer science, Information Systems, or a related field.
Disclaimer EVI Industries, Inc. is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.
We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.
Apply Today If you're interested in this position, please send us your resume to receive consideration for employment.
#J-18808-Ljbffr
is responsible for and has deep expertise in designing, building, and maintaining
scalable, high-performance data warehouses . The ideal candidate will have a proven track record of successful data warehouse implementations and have hands‑on experience integrating data across
Microsoft Dynamics 365 Business Central ,
Salesforce CRM , and
ADP Payroll . The position will play a critical role in our organization's journey toward a data-driven future.
Design and develop
robust and scalable data warehouse architectures to support business goals, reporting, and analytics needs.
Administer
and
tune
database systems (SQL Server, Azure SQL, or other platforms) to ensure high availability, performance, and security.
Integrate
disparate data sources (Business Central, Salesforce, ADP, etc.) into a centralized warehouse using ETL/ELT best practices.
Develop ETL pipelines
using tools such as Azure Data Factory, SSIS, or similar platforms.
Establish and enforce
data governance ,
quality , and
security protocols
across all systems.
Support business users and data analysts with optimized queries , views, and datasets for reporting.
Monitor and troubleshoot
database performance
issues and implement proactive optimizations.
Requirements 7+ years of experience in database administration and data warehouse development.Proven track record of delivering performance-optimized data warehouses at scale.
Strong SQL expertise with experience in query optimization, indexing, partitioning, and replication.
Proficient with ETL tools such as Azure Data Factory, SSIS, or equivalent.
Familiarity with cloud-based data platforms (e.g., Azure Synapse, AWS Redshift, Snowflake).
Understanding of data modeling principles (star/snowflake schema).
Excellent problem-solving skills, attention to detail, and communication abilities.
Bachelor’s degree in computer science, Information Systems, or a related field.
Disclaimer EVI Industries, Inc. is an Equal Opportunity Employer. Our policy is clear: there shall be no discrimination on the basis of age, disability, sex, race, religion or belief, gender reassignment, marriage/civil partnership, pregnancy/maternity, or sexual orientation.
We are an inclusive organization and actively promote equality of opportunity for all with the right mix of talent, skills and potential. We welcome all applications from a wide range of candidates. Selection for roles will be based on individual merit alone.
Apply Today If you're interested in this position, please send us your resume to receive consideration for employment.
#J-18808-Ljbffr