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Senior Data Scientist
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AWS Data Engineer
2 months ago
AWS Data EngineerLocation:
GurgaonMode:
Hybrid (Combination of office and remote work)Experience Required:
4 to 9 YearsKey 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