AWS Data Engineer with Java/Python Exp
• We are looking for AWS data engineer
Responsibilities• Overall 6 years of experience on AWS data ecosystem • In depth knowledge of AWS components like S3, EC2, Redshift, RDS, EMR, No SQL databases, • Hands on experience in designing cost-efficient, fault tolerant and scalable distributed systems on AWS. Understand the data processing requirements like batch computing, stream computing needs and design the solution on AWS stack. • Finalizing and preparing the templates of design documents, data flows, mapping documents, implementation and maintenance plans. Set up process, services and tools around cloud • Experience with Data Modelling • Estimate the sizing of the data solution components based on key volumetric statistics. Develop architecture blueprints and detailed documentation. Create bill of materials, including required Cloud Services (such as EC2, S3 etc.) and tools; • Design the overall Virtual Private Cloud VPC environment including server instance, storage instances, subnets, availability zones, etc • Exposure to the various AWS components to build Data Lake, Data Warehouse, and data processing. In depth knowledge of AWS S3, AWS Glue, Redshift, AWS RDS, Cloud Watch and other AWS echo system. • Deep understanding of Spark, Python. Designing applications with distributed computing technologies. • Knowledge of best practices and market trends pertaining to Cloud and overall industry to provide thought leadership and mentor team to build necessary competency • Excellent verbal, written and presentation skills. Ability to quickly connect with key stakeholders in the organization, client and the teams. • Ability to drive the teams from architecture stand point of view.
Requirements• AWS • AWS Lambda • configurations in S3 • EC instances • Redshift • Java/Python
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