Tapestry ยท 3 days ago
Data Engineer
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Responsibilities
Create and maintain optimal data pipeline architecture, define and maintain ETL
Assemble large, complex data sets that meet functional / non-functional business requirements.
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 Azure cloud technologies.
Build 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.
Keep our data separated and secure across multiple data centers.
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and analytics experts to strive for greater functionality in our data systems.
Qualification
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Required
Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
Experience building and optimizing data pipelines, architectures and data sets.
Experience with programing to develop and code ETL.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Strong analytic skills related to working with unstructured datasets.
Build processes supporting data transformation, data structures, metadata, dependency and workload management.
3+ years of experience in a Data Engineer role.
Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Experience with Database Administration/Maintenance.
Experience with big data tools, distributed SQL: Azure Data Factory/Synapse.
Experience with relational SQL (NoSQL useful), including Postgres and SQL Server.
Experience with Analytics Tools: Power BI.
Experience with Microsoft Azure cloud services.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, Go, etc.
Company
Tapestry
Tapestry is a community-based non-profit organization serving the Western MA community, including many who otherwise might not receive care.
Funding
Current Stage
Growth StageCompany data provided by crunchbase