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, developing a platform of certified data definitions for dashboards and self-service analytics. This role involves hands-on development adhering to best practices and supports business stakeholders across all functions, primarily starting with Sales, Sales Ops, and Marketing. This remote position reports to the Senior Manager, Data Engineer. The role offers the opportunity to work with a modern technical stack and contribute to a growing data platform.

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
• Ability to clearly communicate complex technical ideas to both technical and business stakeholders, with demonstrated written and verbal presentation skills to present compelling recommendations

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

Benefits

This position is remote