AWS Data Solutions Architect

4 days ago


Bengaluru, Karnataka, India Thoucentric Full time
Job Title: AWS Data Solutions Architect

We are seeking an experienced AWS Data Solutions Architect to join our team at Thoucentric.

About the Role:

The ideal candidate will have hands-on experience with designing, developing, and maintaining data solutions using core AWS services. They will work closely with data scientists, analysts, and stakeholders to gather requirements and deliver scalable, efficient, and secure data pipelines and architectures.

Key Responsibilities:
  • Data Pipeline Development:
    • Develop and manage ETL/ELT workflows using AWS Glue and PySpark to process large datasets.
    • Automate data workflows using Apache Airflow and other orchestration tools.
  • Data Storage and Management:
    • Architect and manage data storage in Amazon S3, ensuring performance, cost-efficiency, and security.
    • Create and optimize Amazon Redshift clusters for data warehousing and analytics workloads.
    • Design scalable NoSQL solutions using Amazon DynamoDB for real-time data needs.
  • Compute and Serverless:
    • Build and deploy serverless solutions using AWS Lambda for event-driven data processing.
    • Configure and manage virtual machine instances using Amazon EC2 for custom data processing tasks.
  • Security and Monitoring:
    • Implement fine-grained access controls with AWS IAM to ensure data security.
    • Set up monitoring, logging, and alerts using AWS CloudWatch for proactive system health management.
  • Data Integration and Transformation:
    • Create efficient SQL queries to handle data transformations and analytics.
    • Integrate and process structured and unstructured data from multiple sources.
    • Design data models and implement them in Redshift or DynamoDB for optimized query performance.
  • Collaboration and Optimization:
    • Collaborate with data scientists, analysts, and stakeholders to gather requirements and deliver solutions.
    • Continuously optimize data processing workflows to improve performance and reduce costs.


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