Data Engineer, Lead Analyst

Summary

Join Extreme Networks as a Data Engineer, Lead Analyst, and become a member of the Expand team. You will develop data flows, ETL/ELT pipelines, data marts, and analytics solutions for the global enterprise data & analytics platform. Partner with stakeholders to understand data rules and reporting needs, and develop a platform of certified data definitions. This role involves hands-on development with adherence to best practices and supports business stakeholders across all functions, primarily starting with Sales, Sales Ops, and Marketing. The position is remote and reports to the Senior Manager, Data Engineer. Leverage your expertise in data modeling, SQL, ETL/ELT tools, and cloud-driven data architecture to build scalable and insightful solutions. Contribute to a team committed to fostering an inclusive workplace where all employees thrive.

Requirements

• Highly self-motivated and able to work independently as well as in a team environment
• 3+ years hands-on experience working with BI, ETL/ELT data pipeline and integration patterns, and data modeling best practices, with in-depth knowledge of data governance, data engineering, visualization, and business intelligence functions
• 2+ years of experience with more than 1 database system, such as Redshift, Azure Synapse, BigQuery, Oracle, SQL Server, MySQL
• 1+ years hands-on experience developing on modern data warehousing tools (e.g. Spark, Redshift, Snowflake, Azure Aurora, BigQuery, Incorta), deep expertise with SQL, and high proficiency building in BI solutions (e.g. Tableau, PowerBI, Looker, or other BI reporting layers)
• Experience implementing a variety of data warehousing concepts and methodologies, including snapshotting, incremental data loads, SCDs, and star schemas
• Advanced understanding of SQL development in both stored procedures and leveraging ETL/ELT tools, such as Informatica, DBT, SSIS, Matillion
• Can be highly flexible in adapting to the needs of the team and organization

Responsibilities

• Develop analytical data models that provide actionable insights across a range of business functions
• Develop data models, ingestion, transformation, and consumption layers for a scalable data platform in support of growing use cases and user personas
• Implement the end-to-end analytics solution using a modern technical stack, e.g. Snowflake, DBT, Fivetran, Informatica, Tableau
• Develop using best-practice data modeling techniques, leveraging SQL, ETL/ELT tools, and cloud-driven data architecture

Preferred Qualifications

• Experience is a plus in managing the ingestion and modeling of the following business application data sources: Salesforce, Oracle Suite (EBS, Fusion, HCM), and Jira
• Comfort in working within an agile team, leveraging DevOps concepts and agile-enablement tools including Jira, Confluence, and Github
• Working experience with DevOps best practices and version control policies and platforms, e.g. Git
• Ability to clearly communicate complex technical ideas to both technical and business stakeholders, with demonstrated written and verbal presentation skills to present compelling recommendations

Benefits

This position is remote