Description

You will design, implement, and deploy cloud platforms to support business requirements.

Responsibilities

• Design and deploy cloud platforms using AWS services to meet business needs.
• Determine appropriate technical tools to address specific client requirements and business functions.
• Identify and implement solutions for performance improvements and technical issues.
• Experiment with new technologies, tools, and processes to optimize workflows.

Required Skills

• 5+ years of experience in data engineering.
• Proficiency in Python and SQL.
• Experience building Spark data processing applications using Python and PySpark.
• Hands-on experience with AWS services including Glue, Step Functions, IAM, S3, CloudWatch, CloudFormation, Lambda, and SageMaker.
• Experience with SQL development and Tableau reporting.
• Experience building Splunk dashboards.
• Experience with CI/CD pipeline tools such as Bamboo and Bitbucket.
• Knowledge of test automation and test-driven development (TDD) practices.

Key Skills

Education

Any Graduate