| Data Engineer (Experian) - 100% remote - no h1b-opt-cpt at Remote, Remote, USA |
| Email: [email protected] |
| From: Jyoti, KPG99 [email protected] Reply to: [email protected] Data Engineer (Experian) - 100% remote, Experian Nashville, TN (100% remote) Long term contract 2 interview process The engineer will work as part of a team to develop advanced analytical solutions for Experian Health clients, including building new software product initiatives for healthcare organizations. Must possess engineering and programming skills to solve and automate the data wrangling challenges from both an internal and client perspective to build systems which deliver actionable business insights. Looking for an agile professional willing to mentor teammates to accomplish bigger goals. Experience working with large analytical data warehouses and ETL platforms on in distributed computing environments is required, with additional on the job training available. Responsibilities Will work as part of a team to write code for advanced analytical solutions for Experian Health clients, including building new product initiatives for healthcare organizations. Produce data marts and data pipelines. Must be able to understand and develop data architecture and integration to devise data ingest and extract strategies. Will need to understand Experian Health data structures and business objectives to extract and organize relevant data. Must be able to communicate ideas and analysis results effectively both verbally and in writing to a technical audience. Support healthcare consulting organization and product development group by providing data and engineering expertise. Oversee development of reporting architecture for enhancing platforms and processes. Qualifications This position requires a highly motivated, energetic, and positive person with: Bachelors degree in Computer Science, Software Engineering, Data Science, or other engineering discipline required. Fluency in SQL, Python, and knowledge of other computer languages. Expertise in Linux systems and Bash scripting A proven track record for executing complex data extraction and ETL projects. Expertise in relational databases, data warehousing, data storage principles for handling big data Ability to create appropriate data architectures and pipelines. Understands software development principles and operations. Experience with Hadoop ecosystem Demonstrated ability to communicate ideas and engineering results effectively both verbally and in writing to technical audiences. Must haves, Data Engineering Team works with multiple environments around Health care data, products Analytics team is made up of 15 people Backend process Hadoop and Linux environment a must Build pipeline, data architect, ETL Patterns, large data sets in distributed sets. Healthcare is a plus This is a backfill Products: analytics across organization, power reporting products, data from other products all under Health. Cloud is a bonus SQL and Python |
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| Sat Nov 12 05:49:00 UTC 2022 |