Data Engineer - AWS

Responsibilities:

• Design, develop, and maintain scalable data transformation pipelines using AWS services (Lambda, Step Functions) and Python.
• Build and optimize data processing workflows using PySpark and Databricks.
• Design and maintain complex data calculation and transformation engines.
• Manage and process large-scale datasets efficiently.
• Develop and support SQL databases, including PostgreSQL and MongoDB.
• Collaborate closely with software engineering teams on solution design and implementation.
• Participate in code reviews, architecture discussions, and software planning activities.
• Contribute to automation, testing, deployment, and continuous improvement initiatives.

Requirements:

• Experience: 5-8 Years.
• Required Skills: Python, PySpark, Databricks, AWS Lambda, AWS Step Functions, SQL, PostgreSQL / MongoDB, Data Engineering, and Data Transformation
• Experience with large-scale data processing.
• CI/CD, automation, and testing frameworks.
• Strong hands-on experience with AWS Data Engineering services.
• Expertise in Python, PySpark, Databricks, and SQL.
• Excellent problem-solving and analytical skills.
• Strong communication, collaboration, and documentation skills.
• Ability to work effectively in agile and cross-functional teams.
• Certifications: AWS Certifications (Preferred but Optional).