AHU Technologies Inc
Data Engineer II – Global Marketing Technology
Job Description Overview
Data Engineer II – Global Marketing Technology role focusing on building and maintaining data pipelines and data infrastructure to enable data-driven marketing, insights, analytics, and intelligence capabilities. Responsibilities
Data Engineering Projects Data pipeline creation and maintenance. Stack: Google Cloud Platform (GCP), Azure Cloud, Azure Databricks, Snowflake Includes engineering documentation, knowledge transfer to other engineers, future enhancements and maintenance Create secure data views and publish them to the Enterprise Data Exchange via Snowflake for other teams to consume Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog Leverage existing CI/CD process for pipeline deployment Adhere to PII encryption and masking standards Data Engineering Tools/Techniques Orchestration tools - ADF, AirFlow, FiveTran Languages - SQL, Python Data Modeling - Star and Snowflake Schema Streaming - Kafka, EventHub, Spark, Snowflake Streaming DevOps Support Support improvements to current CI/CD process Production monitoring and failure support Provide an escalation point and participate in on-call support rotations Participate in discussions on how to improve DevOps Be aware of product release and how that impacts our business Take part in Agile ceremonies Perform engineering assignments using existing procedures and best practices Conduct research to aid in product troubleshooting and optimization efforts Participate in and contribute to our Engineering Community of Practice Qualifications
Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible 5+ years of relevant engineering experience Google Professional Data Engineer Certification is preferred Experience in Big Table, ClickStream data migration, Semi-Structured and Un-Structured data management Experience with Google GCP and BigQuery Experience with developing complex SQL queries Experience with CI/CD principles and best practices Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts; experience working with a Data Engineering team and understanding of Data Engineering practices Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT space Experience with bug tracking and task management software such as JIRA Experience managing outages, customer escalations, crisis management, and similar circumstances Must haves
Acknowledges the presence of choice in every moment and takes personal responsibility for their life Possesses an entrepreneurial spirit and continuously innovates to achieve great results Communicates with honesty and kindness and creates the space for others to do the same Leads with courage, knowing the possibility of greatness is bigger than the fear of failure Fosters connection by putting people first and building trusting relationships Integrates fun and joy as a way of being and working This is a remote position.
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Job Description Overview
Data Engineer II – Global Marketing Technology role focusing on building and maintaining data pipelines and data infrastructure to enable data-driven marketing, insights, analytics, and intelligence capabilities. Responsibilities
Data Engineering Projects Data pipeline creation and maintenance. Stack: Google Cloud Platform (GCP), Azure Cloud, Azure Databricks, Snowflake Includes engineering documentation, knowledge transfer to other engineers, future enhancements and maintenance Create secure data views and publish them to the Enterprise Data Exchange via Snowflake for other teams to consume Data pipeline modernization and migration via Databricks Delta Live Tables (DLT) and Unity Catalog Leverage existing CI/CD process for pipeline deployment Adhere to PII encryption and masking standards Data Engineering Tools/Techniques Orchestration tools - ADF, AirFlow, FiveTran Languages - SQL, Python Data Modeling - Star and Snowflake Schema Streaming - Kafka, EventHub, Spark, Snowflake Streaming DevOps Support Support improvements to current CI/CD process Production monitoring and failure support Provide an escalation point and participate in on-call support rotations Participate in discussions on how to improve DevOps Be aware of product release and how that impacts our business Take part in Agile ceremonies Perform engineering assignments using existing procedures and best practices Conduct research to aid in product troubleshooting and optimization efforts Participate in and contribute to our Engineering Community of Practice Qualifications
Completed Bachelor’s degree or diploma (or equivalent experience) in Computer Science, Software Engineering or Software Architecture preferred; candidates with substantial and relevant industry experience are also eligible 5+ years of relevant engineering experience Google Professional Data Engineer Certification is preferred Experience in Big Table, ClickStream data migration, Semi-Structured and Un-Structured data management Experience with Google GCP and BigQuery Experience with developing complex SQL queries Experience with CI/CD principles and best practices Experience with Azure Data Factory, Azure Data Bricks, Snowflake, and Storage Accounts; experience working with a Data Engineering team and understanding of Data Engineering practices Ability to learn, understand, and work quickly with new emerging technologies, methodologies, and solutions in the Cloud/IT space Experience with bug tracking and task management software such as JIRA Experience managing outages, customer escalations, crisis management, and similar circumstances Must haves
Acknowledges the presence of choice in every moment and takes personal responsibility for their life Possesses an entrepreneurial spirit and continuously innovates to achieve great results Communicates with honesty and kindness and creates the space for others to do the same Leads with courage, knowing the possibility of greatness is bigger than the fear of failure Fosters connection by putting people first and building trusting relationships Integrates fun and joy as a way of being and working This is a remote position.
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