AWS Data Engineer- F2F Interview at Atlanta

Role- AWS Data Engineer

Location: Atlanta, USA (Day 1 onsite)

F2F Interview at Client Location

Key Responsibilities:

• Design, develop, and maintain batch and streaming ETL/ELT pipelinesusing AWS services (Glue, Lambda, Step Functions, etc.).
• Implement data ingestion frameworksfrom diverse sources (APIs, databases, streaming platforms).
• Ensure data quality, governance, and securityacross all pipelines.
• Build and optimize data lakes and warehousesleveraging Amazon S3, Redshift, Athena, and Lake Formation.
• Collaborate with data scientists, analysts, and business stakeholders to deliver reliable datasets.
• Monitor and troubleshoot data workflows, ensuring high availability and performance.
• Stay updated with emerging AWS technologies and recommend improvements.

Required Skills & Qualifications

• Strong experience with AWS cloud services: S3, Glue, Redshift, EMR, Kinesis, Lambda, DynamoDB, RDS, Athena, SNS. SQS.
• Proficiency in SQL, Pythonand PySpark
• Knowledge of data modeling, schema design, and performance tuning.
• Familiarity with CI/CD pipelinesand DevOps practices tool (Terraform, CloudFormation).
• Experience with security best practices(IAM, encryption, compliance).