Key Skills: AWS, AWS Cloud, Data Engineer, AWS Cloud Engineer, Pyspark, SQL, Python

Roles and Responsibilities:

• Designs and implements scalable data pipelines, data lakes, and data warehouse solutions.
• Builds and maintains cloud-native data platforms using AWS services such as S3, EC2, Glue, Athena, Redshift, and SageMaker.
• Develops data processing workflows using Python, PySpark, and SQL.
• Integrates data from multiple sources and ensures data quality, consistency, and reliability.
• Implements containerized solutions using Docker and Kubernetes for scalable deployments.
• Applies CI/CD practices and version control using Git and modern DevOps workflows.
• Designs and develops APIs and microservices to support data access and integration.
• Works on LLM-powered solutions, including prompt engineering and Retrieval-Augmented Generation (RAG) workflows.
• Collaborates with cross-functional teams to understand data requirements and deliver solutions.
• Supports data visualization and reporting using tools such as Tableau or Power BI.
• Monitors, troubleshoots, and optimizes performance of data pipelines and systems.
• Communicates effectively with stakeholders and drives data-driven decision-making.

Skills Required:

• Demonstrates strong experience in AWS cloud services and data engineering ecosystems.
• Possesses hands-on expertise in building large-scale data pipelines and platforms.
• Shows proficiency in Python, PySpark, SQL, and programming languages such as Java or Scala.
• Exhibits strong understanding of data lakes, data warehouses, and analytics architectures.
• Demonstrates experience with containerization using Docker and orchestration using Kubernetes.
• Applies knowledge of CI/CD pipelines, version control, and collaborative development practices.
• Shows understanding of APIs, microservices, and distributed systems.
• Demonstrates familiarity with LLM-based solutions, prompt engineering, and RAG frameworks.
• Exhibits strong analytical, problem-solving, and communication skills.

Education: Bachelor's or Master's degree in Computer Science or a related technical field.