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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.