AWS Data Engineer

About the Role:

We are seeking a talented AWS Data Engineer with expertise in AWS Services, to join our dynamic team. The ideal candidate will have a strong background in data engineering, data processing, and cloud technologies. You will play a crucial role in designing, developing, and maintaining our data infrastructure to support our analytics.

Responsibilities:

• Develop and maintain ETL pipelines using AWS Glue to process and transform large volumes of data efficiently.
• Collaborate with analysts to understand data requirements and ensure data availability and quality.
• Write and optimize DB queries for data extraction, transformation, and loading.
• Utilize Git for version control, ensuring proper documentation and tracking of code changes.
• Design, implement, and manage scalable data lakes on AWS, including S3, or other relevant services for efficient data storage and retrieval.
• Develop and optimize high-performance, scalable databases using Amazon DynamoDB.
• Proficiency in Amazon QuickSight for creating interactive dashboards and data visualizations.
• Automate workflows using AWS Cloud services like event bridge, step functions.
• Monitor and optimize data processing workflows for performance and scalability.
• Troubleshoot data-related issues and provide timely resolution.
• Stay up-to-date with industry best practices and emerging technologies in data engineering.

Qualifications:

• Bachelor's degree in Computer Science, Data Science, or a related field.
• Master's degree is a plus.
• Experience with version control systems, preferably Git.
• Strong knowledge of AWS services, including

  S3, Redshift, Glue, Step Functions, CloudWatch, Lambda, Quicksight, DynamoDB, Athena, CodeCommit

  etc.
• Familiarity with

  Databricks

  and it’s concepts is a plus.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills to work effectively within a team.
• Ability to manage multiple tasks and prioritize effectively in a fast-paced environment.