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AWS Data Engineer

1 month ago

Anywhere in IndiaMultiple LocationsRemote GFL Recruitment Private LimitedZigsaw Full time

Exp : 5+ years

Notice Period : Immediate

Location : Remote

Job Description :

- Design, develop, and maintain scalable and efficient data pipelines using AWS Glue or Azure Data Factory to extract, transform, and load data from various sources.

- Implement data storage solutions using AWS S3 or Azure Blob Storage, ensuring data accessibility, security, and reliability.

- Utilize AWS Redshift or Azure Synapse Analytics to design and optimize data warehouses for analytics and reporting purposes.

- Develop server less data processing workflows using AWS Lambda Functions or Azure Functions for automation and efficiency.

- Create and optimize queries for data analysis and exploration using AWS Athena or Azure Data Explorer.

- Monitor and manage data pipelines, databases, and infrastructure using AWS Cloud Watch or Azure Monitor for performance, availability, and security.

- Collaborate with cross-functional teams to understand data requirements and provide data-driven solutions aligned with business objectives.

- Implement and manage identity and access controls using AWS IAM or Azure Active Directory for secure data handling.

Requirements :

- Bachelor's degree in Computer Science, Information Systems, or related field. (Master's degree preferred).

- Proven experience as a Data Engineer with expertise in AWS and Azure cloud platforms.

- Proficiency in working with AWS services such as Glue, Redshift, S3, Lambda Function, Athena, Cloud Watch, EC2, IAM, and their Azure equivalents.

- Strong programming skills in languages such as Python, Java, or Scala.

- Experience in designing, building, and optimizing data pipelines and architectures.

- Understanding of data warehousing concepts and database technologies.

- Ability to troubleshoot and resolve data-related issues effectively.

- Excellent communication skills and the ability to collaborate within a team environment.

Preferred Skills :

- Certification in AWS and/or Azure cloud services.

- Familiarity with other cloud platforms and their data-related services.

- Knowledge of data governance, compliance, and best practices.

- Experience with DevOps practices in a data engineering context.

Benefits :

- Competitive salary and comprehensive benefits package.

- Opportunities for career growth and professional development.

- Collaborative and innovative work environment.

- Flexible work hours and remote work options.

(ref:hirist.tech)