Job Description
? Data Engineering and Technical Delivery
? Prepare data for analysis using Presto SQL or domain specific tool (example: Omniture for Digital), visualizing the data and executing to specifications
? Web Scraping using Python to get basic datasets from popular websites (e.g.: LinkedIn) as required, Parsing JSON objects to get the data in tabular format
? Good knowledge of databases/SQL, relevant tools like R or Python, Omniture (if digital)
? Experience with frameworks like PySpark to handle large data
? Shows drive to increase the breadth & depth of tools and systems creating Data schemas, building the pipelines, collecting data and moving it into storage.
? Preparing the data as part of ETL or ELT processes.
? Stitch the data together with scripting languages and often work with DBA?s to construct data stores or data models.
? Ensure data is available for ready to use and use framework and microservices to serve up the data
? Design, build and optimize applications? containerization and orchestration with Docker and Kubernetes
? Stakeholder Engagement
? Grasp requirements on call and deliver to specification; Present to Senior Management & Leadership
? Present findings to team lead/managers and to external stakeholders
? Drive stakeholder engagements by driving complex analytical projects including bottoms-up projects
? Develop executive presentations with guidance
Skills:
? Expert user of Python & Presto SQL
? Working experience on, Hadoop ecosystem, Hive, Kubernetes
? Usage of various machine learning or statistical libraries, frameworks like PySpark
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