Strong development skills and significant experience in Data Lakes PySpark Pandas and AWS pipelines.
Qualifications 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 Eventbridge 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 analyzing large datasets and extracting meaningful insights. Solid understanding and hand-on implementation experience in CI/CD pipeline. Familiar with tools such as Gitlab/Terraform. Critical thinking and strong analytical skills to drive solutions alternative plans and conclusions Collaborates effectively and forms positive partnerships with team members in groups and levels across a matrixed organization Possess strong analytical and problem-solving skills
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 Eventbridge 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
Important skills: Strong development skills and significant experience in Data Lakes PySpark Pandas and AWS pipelines.Qualifications10 years hands-on Python development experience for big data application.Extensive working experience in implementing scalable and efficient data processing pipelines u...
Important skills:
Strong development skills and significant experience in Data Lakes PySpark Pandas and AWS pipelines.
Qualifications 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 Eventbridge 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 analyzing large datasets and extracting meaningful insights. Solid understanding and hand-on implementation experience in CI/CD pipeline. Familiar with tools such as Gitlab/Terraform. Critical thinking and strong analytical skills to drive solutions alternative plans and conclusions Collaborates effectively and forms positive partnerships with team members in groups and levels across a matrixed organization Possess strong analytical and problem-solving skills
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 Eventbridge 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