AWS Data Engineer
Smart IT Frame
Qualifications (Data Engineer/Python Developer) 10+ years hands-on Python development experience for big data application. Extensive working experience in implementing scalable and efficient data processing pipelines using big data technologies, such as Hadoop/EMR, Spark, Hive. Strong development experience in AWS platforms/services such as Lambda, Event bridge, Step Functions, Redshift, S3, Glue. Extensive hands-on development experience in making API calls, SQL queries, data manipulation/transformation, analysis and visualization. Strong experience in data analysis/mining, hands-on experience on analysing large datasets and extracting meaningful insights. Solid understanding and hand-on implementation experience in CI/CD pipeline. Familiar with tools such as Gitlab/Terraform. Skills Required 10+ years of Python development experience for big data application Required 5+ years of development experience in AWS platforms/services such as EMR, Lambda, Event bridge, Step Functions, Redshift, S3, Glue Required 5+ years of development experience in making API calls, SQL queries, Spark, data manipulation/transformation, analysis and visualization Hands on experience with CI/CD pipeline tools such as Gitlab/Terraform #J-18808-Ljbffr
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