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AWS Data Engineer
DataZymes
posted 1d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Responsibilities:
- Design and implement data pipelines using AWS services such as S3, Glue, PySpark and EMR.
- Develop and maintain data processing and transformation scripts using Python and SQL.
- Optimize data storage and retrieval using AWS database services such as RDS, Redshift and DynamoDB.
- Build different types of data warehousing layers based on specific use cases.
- Utilize expertise in SQL and have a strong understanding of ETL and data modeling.
- Ensure the accuracy and availability of data to customers and understand how technical decisions can impact their businesss analytics and reporting.
Qualifications:
- Bachelors or Masters Degree in Computer Science, Computer Engineering, or Information Technology
- Experience with AWS cloud and AWS services such as S3 Buckets, Glue Studio, Redshift, Athena, Lambda, and SQS queues.
- Experience with batch job scheduling and identifying data/job dependencies.
Preferred Skills:
- Proficiency in data warehousing, ETL, and big data processing.
- Familiarity with the Pharma domain is a plus.
Employment Type: Full Time, Permanent
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based on 15 employees
Flexible timing
Monday to Friday
No travel
DataZymes Benefits
Team Outings 
Work From Home 
Health Insurance 
Job Training 
Soft Skill Training 
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