Data Engineer – AWS, Python

We are seeking an experienced ETL/Data Engineer with strong cloud expertise to design, develop, and maintain data pipelines. The ideal candidate will have hands‑on experience with AWS services, large‑scale data processing, and deployment pipelines.

• Design and implement data pipelines on cloud platforms (AWS preferred).
• Handle large volumes of data from multiple sources.
• Perform data cleansing, data validation, and transformation.
• Hands‑on ETL development using Python and SQL.
• Utilize AWS services such as Glue, Glue Crawlers, Lambda, Redshift, Athena, S3, EC2, and IAM.
• Implement monitoring and logging mechanisms using AWS Cloud Watch and set up alerts.
• Communicate effectively with stakeholders and work collaboratively with cross‑functional teams.

• Deploy solutions on the cloud.
• Integrate CI/CD pipelines to build artifacts and deploy changes across environments.

• Work with scheduling frameworks like Airflow and AWS Step Functions to manage workflows.

• Cloud Computing:
  Amazon Web Services (AWS).
• Databases:
  Microsoft SQL Server 2019.
• Programming:
  Python, SQL.
• Workflow Orchestration:
  Airflow, AWS Step Functions.