AWS Data Engineer
2 months ago
Job Title: AWS Data Engineer
Job Summary:
At Vision Excel Career Solutions, we are seeking an experienced AWS Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing and developing efficient data pipelines using Python and orchestrating workflows with Airflow. You will also utilize Spark (Glue, EMR) for large-scale data processing tasks, optimizing for performance and scalability.
Key Responsibilities:
- Design and develop efficient data pipelines using Python and orchestrate workflows with Airflow, ensuring reliable data ingestion, transformation, and storage.
- Utilize Spark (Glue, EMR) for large-scale data processing tasks, optimizing for performance and scalability.
- Implement and manage streaming data solutions with Kafka, managing high-volume data with proficiency in SQS and Event Bridge for event-driven architectures.
- Leverage AWS services extensively, including S3 for data storage, ensuring best practices in cloud-based data handling and security.
Requirements:
- Strong proficiency in Python and experience with Airflow for data pipeline management.
- Expertise in Spark for big data processing, with experience in Glue and/or EMR.
- Demonstrated experience with Kafka for real-time data streaming and familiarity with AWS messaging services like SQS and Event Bridge.
- In-depth knowledge of AWS cloud services, especially S3, and best practices in cloud security and data management.
What We Offer:
- Competitive salary and benefits package.
- Opportunity to work with a talented team of data engineers and scientists.
- Professional development and growth opportunities.
How to Apply:
If you are a motivated and experienced data engineer looking for a new challenge, please submit your resume and cover letter to us.
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