Qualification
• At least 5 years of experience in Python scripting language, and data analysis libraries
• 5+ years of experience developing web applications
• Deep Knowledge of data architecture and data management best practices.
• Advanced knowledge with design and implementation of ETL/ELT framework for complex warehouses/marts, SSAS models/cubes, etc.
• 5+ years of experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• 5+ years of strong hands-on experience in Hadoop, Spark, HBase, Hive, Scoop, Python
• Advanced SQL knowledge and experience working with relational databases like SQL, PostgreSQL, PL/SQL, Oracle DB, etc.
• Background in all aspects of software engineering with strong skills in parallel data processing, data flows, REST APIs, JSON, XML, and micro service architecture
• Knowledge of large data sets and experience with performance tuning and troubleshooting
• At least 4 years of experience in Project life cycle activities on development and maintenance projects
• At least 5 years of experience in Design and architecture review
Technologies:
• BS, MS or PhD degree in Computer Science or equivalent experience and/or degree and/or background.
• 5+ year expertise in relational database structures, research methods, machine learning, Cloud based technologies, Big Data technologies (i.e. Hadoop , HBase, Spark, Lucene/Solr),analytics packages (i.e. R, Matlab, JMP),scripting languages (i.e. Python, DAX, SH),programing languages (i.e. Java, C/C++).
• Experience in one or more database technologies: SQL, Postgresql.
• Familiarity with Data Pipelines & data science frameworks (CDSW, Kubeflow, Jupyter)
• Experience in front-end technologies like Javascript, HTML5, React, Angular, Flask, Dash/Plotly, etc.
• Familiarity with Dashboarding (i.e. Power BI/Plotly-Dash/Tableau)
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