AWS Data Engineer Job Summary: We are seeking a skilled AWS Data Engineer to design develop and maintain scalable data solutions in the AWS cloud environment. The ideal candidate will have expertise in AWS data services ETL processes and data modeling ensuring efficient data ingestion transformation and storage.
Key Responsibilities: - Design build and maintain scalable data systems using AWS services.
- Develop and optimize data models data pipelines and storage solutions.
- Implement and manage ETL (Extract Transform Load) workflows.
- Ensure data quality integrity and governance throughout the data lifecycle.
- Create and maintain technical documentation for data pipelines processes and best practices.
Required Skills & Experience: - AWS Expertise: Handson experience with AWS services including AWS Glue AWS Lambda Amazon Kinesis Amazon EMR Amazon Athena Amazon DynamoDB Amazon CloudWatch Amazon SNS and AWS Step Functions.
- Programming Skills: Strong proficiency in Python Spark and Scala for data processing.
- Database & Storage Knowledge: Experience with AWS Redshift AWS RDS Hadoop and AWS S3 for structured and unstructured data storage.
- ETL & Data Warehousing: Deep understanding of data modeling data warehousing and ETL pipeline development.
- SQL Proficiency: Strong SQL skills for data manipulation querying and optimization.
- Data Orchestration: Experience with workflow automation and orchestration of data pipelines.
Preferred Qualifications: - Experience working with AWS Data Lakes for largescale data processing.
- Familiarity with data security compliance and governance best practices.
- Knowledge of realtime data processing and streaming solutions.