Senior Manager, Data Engineer - Enterprise Data and Analytics

December 14

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Extreme Networks

WebsiteLinkedInAll Job Openings

Switching • Wireless • Security • Cloud Management • Network Management

1001 - 5000 employees

Founded 1996

📡 Telecommunications

🏢 Enterprise

🔐 Security

Description

• Extreme Networks Named to Computerworld’s 2023 List of Best Places to Work in IT! • Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. • They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. • With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme. • We believe in “walking the walk” of our strong core values, which enable us to advance successfully together. • Diversity and inclusion are vital parts of our values and beliefs, and we’re proud to foster an environment where every Extreme employee can thrive. • The Data Engineer, Senior Manager, Enterprise Data and Analytics will be a member of the “Expand” (Extreme Process Analytics and Data Governance) team and is responsible for developing the data flows, ETL/ELT pipelines, data marts, and analytics solutions in support of the global, enterprise data & analytics (EDNA) platform. • Partner with stakeholders throughout the business to understand data rules, business logic, and reporting and analytics needs to develop a platform of certified data definitions that support both dashboards and ad-hoc, self-service analytics. • This position is remote, reporting to the Data Architect of the Analytics pillar.

Requirements

• Highly self-motivated and able to work independently as well as in a team environment. • 5+ 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 • 3+ 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) • Deep 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. • 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.