Roles and Responsibility
Design, develop, and implement scalable data pipelines using AWS services such as S3, Lambda, and EMR.
Collaborate with cross-functional teams to identify and prioritize project requirements.
Develop and maintain large-scale data warehouses and data lakes on AWS.
Ensure data quality and integrity by implementing data validation and testing procedures.
Optimize data processing workflows for performance and efficiency.
Troubleshoot and resolve technical issues related to data engineering projects.
Job Requirements
Robust understanding of data engineering principles and practices.
Experience with AWS services including S3, Lambda, EMR, and DynamoDB.
Proficiency in programming languages such as Python or Java.
Excellent problem-solving skills and attention to detail.
Ability to work collaboratively in a team workplace.
Solid communication and interpersonal skills.
📌 Data Engineer Aws Mumbai
🏢 Wenger and Watson
📍 Mumbai
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