Current Openings
Data Engineer/Data Analyst
Role
Thought Layer is seeking an experienced Data Engineer with at least 5 years of experience to work as part of our Business Engineering team. Duties including preparing data sets, integration, warehousing, analysis, and performing data analysis functions across sets of transactional, operational, device, and various other data sources.
Impact
As public and private data landscapes continue to expand, the opportunities of using data to inform business, optimize processes, and continuously shift value towards consumers and stakeholders increases. Each business and organization is unique. The goals, input and output, as well as contextual understanding of data in terms of the business and its consumers is paramount to success. Thought Layer helps businesses maximize the value of available data providing disciplined and model driven approaches developing a business’s contextual awareness and developing solutions that maximize value of those solutions.
As a data engineer you will work with a multidiscipline Business Engineering team developing process intelligence, transactional, and business intelligence solutions. Your role will focus on the design, development, implementation, and maintenance of data integrations, data sets, and warehousing paradigms that support solutions. You will have the opportunity to integrate, work with, pilot, and implement solutions across various technologies, databases, and structures. Additional duties may include business intelligence, analysis, visualization, data architecture, and documentation.
Opportunity
Please Note: Thought Layer Co. is an equal opportunity employer and does not discriminate on the basis of race, national origin, religion, color, gender, sexual orientation, age or any other basis covered by law. Employment decisions are based solely on qualifications and business need.
Required Qualifications
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Bachelor’s or Master's degree
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2-3+ years relevant professional experience in Data Engineering and Business Intelligence
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3-4+ years in with Advanced SQL (analytic functions), ETL (from Transactional Systems), Data Warehousing (experience with Time Series Data)
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Advanced data analysis skills – e.g. pivot table
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Strong knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures, data modeling and performance tuning.
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Experience working with, preparing, and integrating various types of data structures – flat, relational, hierarchical, graph, etc.
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Experience with data visualization and analysis
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Ability to effectively communicate with both business and technical teams
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Knowledge of Business Process Modeling Notation and Business Process Management techniques
Preferred Qualifications
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Bachelor’s or higher degree in area such as Computer Science, Information Systems, Physics, Mathematics, Statistics, Engineering, Philosophy or similar.
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Basic Programming experience (R, Python, Java, Javascript, etc.)
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Healthcare Background
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Knowledge and/or experience working with IBM Informatica, Talend, AbInitio, Pentaho and/or other model driven application development platforms
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Knowledge and/or experience working with Big Data (Hadoop, etc.) and non-traditional data management and analysis
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Knowledge of Data Science Concepts
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Knowledge and/or experience with Machine Learning Algorithms and Analysis
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Knowledge and/or experience with Data Visualization and tools (Tableau)
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Knowledge and/or experience on working with Hive and the Hadoop ecosystem
Thought Layer is seeking an experienced Data Engineer with at least 5 years of experience to work as part of our Business Engineering team. Duties including preparing data sets, integration, warehousing, analysis, and performing data analysis functions across sets of transactional, operational, device, and various other data sources.
About Thought Layer
Thought Layer is a boutique consulting firm specializing in helping organizations optimize the value of their business processes and information supply chain. We drive change and transformation by applying data-driven business process management techniques to understand, analyze, and implement solutions with measurable outcomes. Unlike traditional approaches, our data driven BPM methodology builds a maturing web of reusable and interconnected process, system, and service data that is used to substantiate decisions and investments.
Contact - info@thoughtlayer.com
