AWS Data Engineer
3 hours ago
Job Title: AWS Data Engineer
Location: Gurgaon
Mode: Hybrid (Combination of office and remote work)
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
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