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AWS Data Engineer
2 months ago
Location: Gurgaon
Mode: Hybrid
Experience Required: 4 to 9 Years
Key Responsibilities:
Design, develop, and maintain scalable data pipelines using AWS services.
Leverage Python and PySpark for data processing and transformation.
Work with AWS Glue for ETL processes, ensuring efficient data movement and transformation.
Collaborate with cross-functional teams to understand data requirements and implement solutions.
Optimize and manage data storage solutions on AWS.
Monitor and troubleshoot data pipelines to ensure smooth operations.
Integrate with AWS SageMaker for machine learning models (good to have).
Key Skills:
Python programming for data manipulation and automation.
Experience with PySpark for big data processing.
Expertise in AWS Glue for ETL development.
Familiarity with other AWS services such as S3 , Lambda , Athena , and Redshift .
Knowledge of SageMaker and basic understanding of machine learning concepts (good to have).
Strong problem-solving skills and ability to work independently in a hybrid environment.
Nice to Have:
Experience with Machine Learning (ML) and AI in data solutions.
Exposure to other AWS services used in data analytics.
Qualifications:
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Proven experience in AWS ecosystem with a focus on data engineering tools and services.
If you're passionate about data engineering, cloud technologies, and are looking for an exciting opportunity to work in a hybrid environment, apply today