Urgent requirement for AWS Data Engineer at Remote at Remote, Remote, USA |
Email: [email protected] |
From: Praveen Kumar, EappsTech LLC [email protected] Reply to: [email protected] Job Title: AWS Data Engineer Location: Remote Duration: 1+ Year Start Date: ASAP 12+ EXP ONLY Job Description: The candidate should be an experienced data pipeline builder who will optimize and build data systems from the ground up. Built data pipelines using AWS Use Lambda or EC2 to manipulate data using Python Create and maintain optimal data pipeline architecture Assemble large, complex data sets that meet functional / non-functional business requirements Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS Web Services, AWS Glue and Pyspark Keep our enterprise data assets secure through data de-risking and access controls Work with data and analytics professionals to strive for greater functionality in our data ecosystem Requirements Bachelor's degree in computer science, software/computer engineering, applied mathematics, or physics statistics 7+ years of relevant AWS Data engineering. Should have work exposure to AWS Glue, Pyspark, Lambada, Redshift, AWS Aura with Postgres Intellectual curiosity to find new and unusual ways of how to tackle data management issues Ability to approach data organization challenges while keeping an eye on what's important Sophisticated working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases Experience performing root cause analysis on internal and external data and processes to answer specific business questions and find opportunities for improvement Strong analytic skills related to working with structured/unstructured/relational datasets. Build processes supporting data transformation, data structures, metadata, dependency, and workload management Experience supporting and working with multi-functional teams in a dynamic environment. Experience with object-oriented/object function scripting languages: Python A successful history of manipulating, processing, and extracting value from large, disconnected datasets preferred Prior experience with a health care data model is preferred SKILL Set Box SKILL YEARS OF EXPERIENCE SELF RATING OUT OF 5 AWS Glue PySpark Lambda or EC2 Python SQL Keywords: Delaware |
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Wed Nov 01 20:03:00 UTC 2023 |