Minimum Degree Required: Bachelor's degree in Engineering
Certification(s) Preferred: Amazon Web Services (AWS) certifications( AWS certified Data Engineer is recommended).
Desired Skills
Minimum 2 years experience in design and development of data pipelines and processing of data at scale using technologies like EMR, Kinesis, Lambda, Glue, Athena, RedShift,Step Functions.
Experience in design and development of applications using Python(must have) or
Experience in Big Data technologies and tools such as PySpark/Spark, Hadoop, Hive, Kafka etc.
Experience with building data pipelines in streaming and batch mode.
Experience in optimizing big data data pipelines on AWS.
Good understanding of data warehousing concepts and Expert level skills in writing and optimizing SQL.
Experience in development using message queues, stream processing, highly available & fault tolerant applications
Minimum 1 year of experience in using AWS services like EC2, IAM, VPC, S3 etc. and good understanding of architectural best practices.
Proficiency in using SDKs for interacting with native AWS services
Good understanding of big data design patterns and performance tuning
Experience with Git and CI/CD pipelines to deploy cloud applications
Experienced in roles conducting requirements gathering, writing user stories, creating application design and using design patterns
Excellent communication skills with the ability to influence client business and IT teams
Experience with Agile software development
Ability to work independently and across multiple teams.
Employement Category:
Employement Type: Full timeIndustry: IT - SoftwareRole Category: IT Operations / EDP / MISFunctional Area: Not ApplicableRole/Responsibilies: Hiring for Cloud date engineer - AWS Python