AWS Data Engineer

1 day ago

Noida, Uttar Pradesh, India EXL Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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.

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