Python with AWS_ Virtual DRIVE IN WEEK DAYS

Role & responsibilities

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Key Responsibilities

• Design, develop, and optimize scalable data pipelines using Python.
• Build and maintain ETL/ELT solutions for large-scale data processing.
• Develop cloud-native data solutions leveraging AWS services.
• Process and transform structured and unstructured data from multiple sources.
• Implement data quality, validation, and monitoring frameworks.
• Configure and manage data workflows and orchestration processes.
• Collaborate with business, analytics, and engineering teams to gather requirements and deliver data solutions.
• Support production deployments, troubleshooting, and performance tuning.
• Adhere to Agile development and DevOps best practices. [JD_Vanguar…n with AWS Word], [SCALA WITH AWS Word]

Mandatory Skills

• 5+ years of experience in Data Engineering.
• Strong programming expertise in Python.

• Hands-on experience with AWS cloud services including:

• AWS S3
• AWS Glue
• AWS Lambda
• AWS Step Functions
• AWS EventBridge

• ECS / EKS

• Experience building ETL/Data Pipelines.
• Strong SQL and database skills.
• Experience with data transformation and data integration frameworks.
• Knowledge of REST APIs and microservices.
• Experience with Git and version control.
• Understanding of CI/CD practices and cloud deployment processes. [Experian-Python Word], [SCALA WITH AWS Word]

Preferred Skills

• PySpark or Spark Framework.
• Terraform or CloudFormation.
• Docker and Kubernetes.
• Jenkins CI/CD.
• Data Lake and Data Warehousing concepts.
• FastAPI or Flask.
• Exposure to SonarQube and code quality tools.
• AWS Certifications. [SCALA WITH AWS Word], [Experian-Python Word]

Required Technical Stack

• Python
• AWS Glue
• AWS S3
• AWS Lambda
• Step Functions
• EventBridge
• ECS / EKS
• SQL
• Git
• CI/CD
• Terraform (Preferred)
• Docker/Kubernetes (Preferred) [Experian-Python Word], [SCALA WITH AWS Word]

Preferred candidate profile