Description

You will build and deploy data pipelines and application code within an AWS cloud environment.

Responsibilities

• Develop and deploy application code using SQL, Python, and Spark.
• Build and manage cloud-based data pipelines.
• Secure data assets using IAM and Active Directory.
• Implement monitoring and logging using CloudWatch and Splunk.
• Manage version control and branching via Artifactory, Jenkins, and Bitbucket.

Required Skills

• 3-5 years of experience with AWS services including Glue, Athena, Lambda, Secrets Manager, Redshift, Redshift Spectrum, S3, EC2, and Step Functions.
• 3-5 years using Boto3, PostgreSQL, and CloudFormation.
• Proficiency in Python, PySpark, Spark, and SQL.
• 3-5 years of experience with Power BI.
• Experience developing Linux and UNIX shell scripts.
• Background in Big Data or warehouse environments such as Hadoop or DB2 LUW.
• Experience working in Agile environments.
• Bachelor's degree.
• AWS Cloud Practitioner certification or equivalent AWS certification.

Key Skills

Education

Bachelor's degree