Job Specifications
Title: AWS Data Engineer
Location: Atlanta, GA
Duration: 6–12 Months
Job Description:
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).
About the Company
ALOIS Solutions is a rapidly expanding Talent and Technology Solutions company. We thrive on embracing challenges as catalysts for unprecedented growth and groundbreaking innovation. Our core expertise lies in providing strategic and ingenious solutions to conquer even the most intricate issues faced by our esteemed clients. As esteemed partners to industry-leading MSP programs like Magnit, Kelly, Tapfin, Allegis, and Guidant Group, we exude pride in consistently delivering excellence.
Believing fervently in the transformati...
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