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 and Pyspark
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 and Pyspark.
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
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