The Data Engineer, Lead Analyst will develop ETL/ELT pipelines, analytics solutions, and data models while partnering with business stakeholders.
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.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
The Data Engineer, Lead Analyst, 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.
As part of this team, this position will 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. It includes hands-on development with adherence to architectural and development best practices. This role will support business stakeholders across all functions but primarily will start with Sales, Sales Ops, and Marketing.
This position is remote, reporting to the Senior Manager, Data Engineer of the Analytics pillar.
Specific Duties:
• 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.
Qualifications:
• 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.
• 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.
Extreme Networks, Inc. (EXTR) creates effortless networking experiences that enable all of us to advance. We push the boundaries of technology leveraging the powers of machine learning, artificial intelligence, analytics, and automation. Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions and rely on our top-rated services and support to accelerate their digital transformation efforts and deliver progress like never before. For more information, visit Extreme's website or follow us on Twitter, LinkedIn, and Facebook.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
Top Skills
Azure Synapse
BigQuery
Dbt
Elt
ETL
Fivetran
Informatica
Looker
MySQL
Oracle
Power BI
Redshift
Snowflake
Spark
SQL
SQL Server
Tableau
Similar Jobs
.png){kind=logo}
Cloud • Enterprise Web • Other • Productivity • Software • Analytics • Design
The Solutions Consultant drives sales efforts by providing technical support, crafting solutions, and conducting presentations to clients, leveraging market insights to enhance offerings.
Top Skills:
Cloud-Based ApplicationsEprocurementProduct Lifecycle ManagementSaaSSpend Analytics
.png)
Artificial Intelligence • Blockchain • Fintech • Financial Services • Cryptocurrency • NFT • Web3
Create engaging crypto content for social media, monitor trends, engage with the community, and analyze performance metrics.
Top Skills:
Twitter/X
.png)
Hardware • Information Technology • Security • Software • Cybersecurity • Conversational AI
Develop and maintain tools for network configuration and monitoring. Collaborate on product features, ensuring stability and high customer focus.
Top Skills:
DockerGoKubernetesPostgresPythonReactReduxRuby On RailsSQL
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
