We are looking for a savvy Data Engineer to join our analytics team. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, and data analysts on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing our company’s data architecture to support our next generation of products and data initiatives.
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Create and maintain optimal data pipeline architecture,
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Assemble large, complex data sets that meet functional / non-functional business requirements.
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Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
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Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using utilizing PL/pgSQL and Py or other means
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Build data mart in database and data model in visualization tool with scalability and flexibility of analysis in mind
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Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
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Work with data and analytics experts to strive for greater functionality in our data systems.
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Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases, especially mySQL and postgreSQL.
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Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
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Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
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Build processes supporting data transformation, data structures, metadata, dependency and workload management.
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A successful history of manipulating, processing and extracting value from large disconnected datasets.
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Strong project management and organizational skills.
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Experience supporting and working with cross-functional teams in a dynamic environment.
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We are looking for a candidate with 3+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools:
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PostgreSQL
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PL/pgSQL
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mySQL
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PowerBI
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Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
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Google cloud services
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Experience with stream-processing systems: Storm, Spark-Streaming, etc.
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Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala is a plus
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