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Responsibilities
- Design, build, and launch data pipelines to move data across systems and build the next generation of data tools that generate business insights for a product.
- Analyze user needs and software requirements to determine workability and to offer support for end users on data usage.
- Design, architect, and develop software and data solutions that help product and business teams make data-driven decisions.
- Rethink and influence strategy and roadmap for building efficient data solutions and scalable data warehouse plans.
- Design, develop, test, and launch new data models and processes into production, and provide support.
- Leverage homegrown extract, transform, and load (ETL) framework as well as off-the-shelf ETL tools, as appropriate.
- Interface closely with data infrastructure, product, and engineering teams to build and extend cross platform ETL and reports generation framework.
- Identify data infrastructure issues and drive to resolution.
Minimum Qualifications
- Requires a Bachelor's degree (or foreign equivalent) in Computer Science, Engineering, Mathematics, Physics, Liberal Arts and Sciences, or a related field and 36 months of experience in the job offered or in a related occupation
- Requires 36 months of experience in the following skills and technologies:
- Data ETL (Extract, Transform, Load) design, implementation, and maintenance on a large scale
- Programming in Python, Perl, Java, or PHP
- Writing SQL statements
- Analyzing large volumes of data to provide data driven insights, gaps, and inconsistencies
- Data warehousing architecture and plans
- Informatica, Talend, Pentaho, dimensional data modeling, or schema design
- Map Reduce or MPP system
- AWS Analytics Tools
- and MS Azure Analytics Tools
$214,002/year to $235,400/year + bonus + equity + benefits
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