Fundamental Components:
– Participates in the design, build and management of large-scale data structures and pipelines and efficient Extract/Load/Transform (ETL) workflows.
– Assists in the development of large-scale data structures and pipelines to organize, collect and standardize data that helps generate insights and addresses reporting needs.
– Applies understanding of key business drivers to accomplish own work.
– Uses expertise, judgment and precedents to contribute to the resolution of moderately complex problems.
– Leads portions of initiatives of limited scope, with guidance and direction.
– Writes ETL (Extract / Transform / Load) processes, designs database systems and develops tools for real-time and offline analytic processing.
– Collaborates with client team to transform data and integrate algorithms and models into automated processes.
– Uses knowledge in Hadoop architecture, HDFS commands and experience designing & optimizing queries to build data pipelines.
– Uses programming skills in Python, Java or any of the major languages to build robust data pipelines and dynamic systems.
– Builds data marts and data models to support clients and other internal customers.
– Integrates data from a variety of sources, assuring that they adhere to data quality and accessibility standards.
Your skill set should include the following: · Senior level expertise in building backend systems in .NET Framework 4.7+ ·...
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