The Data Engineer, Lead Analyst, Enterprise Data and Analytics will be part of the "Expand" team, responsible for developing data flows, ETL/ELT pipelines, data marts, and analytics solutions for the global enterprise data & analytics platform.
This position will collaborate with stakeholders to understand data rules, business logic, and reporting needs to create a platform of certified data definitions for dashboards and self-service analytics.
The role includes hands-on development while adhering to architectural and development best practices.
The primary focus will be on supporting business stakeholders in Sales, Sales Ops, and Marketing.
The position is remote and reports to the Senior Manager, Data Engineer of the Analytics pillar.
Specific duties include developing analytical data models, data models for a scalable data platform, and implementing end-to-end analytics solutions using modern technical stacks like Snowflake, DBT, Fivetran, Informatica, and Tableau.
Requirements:
Candidates must be highly self-motivated and able to work independently as well as in a team environment.
A minimum of 3 years of hands-on experience with BI, ETL/ELT data pipeline integration patterns, and data modeling best practices is required, along with in-depth knowledge of data governance, data engineering, visualization, and business intelligence functions.
At least 2 years of experience with multiple database systems such as Redshift, Azure Synapse, BigQuery, Oracle, SQL Server, and MySQL is necessary.
Candidates should have 1+ years of hands-on experience with modern data warehousing tools and deep expertise in SQL, as well as proficiency in building BI solutions like Tableau, PowerBI, or Looker.
Experience with various data warehousing concepts and methodologies, including snapshotting, incremental data loads, SCDs, and star schemas is required.
An advanced understanding of SQL development and ETL/ELT tools such as Informatica, DBT, SSIS, and Matillion is essential.
Flexibility in adapting to team and organizational needs is important.
Experience managing the ingestion and modeling of business application data sources like Salesforce, Oracle Suite, and Jira is a plus.
Comfort in working within an agile team and familiarity with DevOps concepts and tools like Jira, Confluence, and Github is expected.
Working experience with DevOps best practices and version control platforms like Git is required.
Candidates must possess the ability to communicate complex technical ideas clearly to both technical and business stakeholders, demonstrating strong written and verbal presentation skills.
Benefits:
The company fosters an inclusive workplace that embraces diversity and creates an atmosphere where all employees can thrive.
Employees are encouraged to apply regardless of their background, with a commitment to preventing discrimination and harassment based on various protected categories.
The position offers the opportunity to be part of a global networking leader and contribute to significant digital transformation efforts.
Employees can expect to work in a dynamic environment that leverages cutting-edge technology, including machine learning, artificial intelligence, analytics, and automation.
