Data Engineer
Data Engineer
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Job Description
Job Description:
Support identification and implementation of integration modelling and orchestration of complex data using relevant coding language(s)
Monitor and troubleshoot data engineering-related incidents
Support development and maintenance of relevant documentation
Participate in knowledge transfer activities issues and risks
Additional Job Requirements:
The Marketing Technology Team oversees the technical aspects of lululemons marketing technology stack. Our technology platform enables robust analytics and delivers personalized engaging interactions to our guests.
As an Engineer for Marketing Technology you will be responsible for the development support configuration and automation of the data infrastructure that supports our global marketing strategy. You will work closely with other data engineers analysts data scientists and marketers to build out new capabilities . The solutions you build will involve large datasets and system integrations in cloud environments.
Responsibilities:
Technical leadership for the expansion and optimization of data collection and data pipeline architecture
Subject matter expert in development and integration with Web Services and APIs
Monitor and support data pipelines and ETL workflows
Cloud (Azure) infrastructure administration: network configurations access and permissions cloud services
Oversee participate in and manage production deployments.
Interface with global vendor and internal teams.
Ensure cloud environment reliability availability performance and security
Define and implement monitoring and alerting for cloud infrastructure and applications
Coordinate recovery from incidents utilizing well defined operational procedures tools and efficient communication across internal and external stakeholders.
Actively use and suggest improvements to continuous delivery toolset.
Guidance and mentorship to junior engineers
Requirements:
3 years (or educational equivalent) building data pipelines using Azure data tools and services (Azure Data Factory Azure Databricks Azure Function Spark Azure Blob/ADLS Azure SQL Snowflake..)
3 years working with customer data or ecommerce/retail data
2 years and a proven record of success in administration of cloud infrastructure in public clouds such as Azure
3 years and a proven record of success in monitoring cloud infrastructure applications big data pipelines and ETL workflows
Experienced in managing outages customer escalations crisis management and other similar circumstances.
Proficient with DevOps tools and environments like Azure DevOps Jenkins Git Terraform.
Proficient in SQL Spark SQL Python PySpark
Familiarity with agile software delivery methodologies
Knowledge of Digital Marketing (Email Search-Engine Marketing Social Affiliate) or eCommerce
Required Skills : SnowflakeAzureSQL
Basic Qualification :
Additional Skills :
Background Check : No
Drug Screen : No
Employment Type
Full Time
