Sr. Data Engineer

analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
 

-Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
 

-Create data tools for analytics and data scientist team members that assist them in
 

-Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements.
 

-Work with data and analytics experts to strive for greater functionality in our data systems.
 

-Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
 

-Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and other technologies.
 

building and optimizing our product into an innovative industry leader.
 

Requirements

Required Qualifications:
 

- Minimum 10+ years of experience
 

-Analytics/data product solution architecture on Azure (Azure Data Factory, Databricks)
 

-Data extract, load and transformation techniques and tools including orchestration of needed azure resources
 

-Azure analytics services
 

-Programming, scripting (Python, SQL, Scala)
 

-Analytics data frameworks (Spark etc.)
 

-Data architecture concepts understanding (relational and dimensional data models)
 

-Information security
 

-Software engineering tools and methodologies (e.g. Agile, ADO, Ansible, GIT)