AWS Data Engineer

Job Title :- AWS Data Engineer Location :- Atlanta, GA (Hybrid – 03 Days in Office) Target Start Date / Urgency to Fill Role :- As early as possible. Duration :- 06+ Months Contract Note :- Local consultants needed who must be willing to go in-person for the interview if asked. Relocations are accepted. Must Haves :- • ETL/ELT on AWS, Data Ingestion Frameworks, Data Lake • SQL, Python & PySpark, CI/CD • Data Modeling, Schema Design, and Performance Tuning. Key Responsibilities • Design, develop, and maintain batch and streaming ETL/ELT pipelines using AWS services (Glue, Lambda, Step Functions, etc.). • Implement data ingestion frameworks from diverse sources (APIs, databases, streaming platforms). • Ensure data quality, governance, and security across all pipelines. • Build and optimize data lakes and warehouses leveraging 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, Python and PySpark. • Knowledge of data modeling, schema design, and performance tuning. • Familiarity with CI/CD pipelines and DevOps practices tool (Terraform, CloudFormation). • Experience with security best practices (IAM, encryption, compliance).