AWS Data Engineer

As an AWS Data Engineer, you will lead the design and development of scalable data solutions on AWS. You will drive architectural decisions and ensure best practices in data engineering across the organization. Key Responsibilities:

• Architect and implement scalable, secure, and cost-effective data platforms on AWS

• Lead the development of complex ETL/ELT pipelines and data workflows

• Define and enforce data engineering standards and best practices

• Collaborate with data scientists, analysts, and business teams to deliver data solutions

• Conduct code reviews and ensure high-quality deliverables

• Optimize data workflows for performance and cost-efficiency

• Ensure data quality, governance, and security across platforms

• Collaborate with cross-functional teams to understand data requirements

• Monitor and troubleshoot data pipelines and infrastructure Technical Requirements:

• Bachelor’s degree in computer science, Engineering, or related field

• 5-8 years of experience in data engineering, with at least 3 years hands on expertise in AWS Cloud Big data platform

• Proficiency in Python, SQL, Spark, and AWS data services

• Strong understanding of data architecture, data modeling, and warehousing

• Experience with DevOps practices and tools (CI/CD, monitoring, IaC)

• Hands-on experience with AWS services: Glue, S3, Redshift, Lambda, CloudWatch, IAM

• Experience with CI/CD tools and infrastructure-as-code (e.g., Terraform, CloudFormation)

• Experience with Git for version control and collaborative development

Requirements