AWS Data Engineer

Position Title: AWS Data Engineer 
Job Timings: 8:00 AM – 5:00 PM CST (6:00 PM- 3:00 AM PKT)
Location: Lahore

About Cloudelligent 

Cloudelligent is Cloud-native consultancy and AWS Advanced consulting partner! We specialize in providing bespoke cloud solutions to Startups & SMBs. Being a next-gen cloud service provider, Cloudelligent helps businesses to make the most out of their cloud investment. We have an international footprint with a diverse team of domain experts, and we are customer obsessed. 

Job Objective

We are seeking an experienced Data Engineer with a strong background in data engineering, database optimization, and cloud-based data solutions, particularly on AWS. The ideal candidate will have hands-on experience with both SQL and NoSQL databases and be proficient in migrating, managing, and modernizing data platforms. You should be skilled in designing and maintaining scalable, secure, and high-performance data infrastructure in the cloud.

Responsibilities

• Design, implement, and manage cloud-based data infrastructure using Amazon RDS, Aurora, and EC2-hosted databases.
• Administer and optimize PostgreSQL, MySQL, and Oracle databases, ensuring high availability, performance, and cost-efficiency.
• Perform data migrations and transformations using AWS Database Migration Service (DMS) and other tools.
• Collaborate with data architects, engineers, and DevOps teams to deliver reliable and scalable data solutions.
• Support developers by analyzing and optimizing SQL queries and data workflows for performance and efficiency.
• Monitor and troubleshoot data issues, ensuring availability, security, and compliance.
• Implement data automation, infrastructure as code (IaC), and CI/CD pipelines for database and data pipeline deployments.
• Ensure data security, encryption, and compliance with industry best practices and internal policies.
• Maintain comprehensive documentation on data architecture, processes, and procedures.
• Stay up to date with emerging AWS features, data engineering tools, and industry best practices.

• Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
• 4+ years of experience in data engineering or database engineering, including hands-on experience with databases on AWS.
• Strong experience with AWS data services such as RDS, Aurora, and DMS.
• Proficient in performance tuning, indexing strategies, partitioning, and query optimization.
• Strong scripting and automation experience using Python, Bash, or similar tools.
• Experience with infrastructure as code tools like Terraform or CloudFormation.
• Solid understanding of backup strategies, monitoring tools, and security best practices.
• Familiarity with multi-account AWS environments and cross-region replication.
• Excellent communication and problem-solving skills.

• AWS Certification (e.g., AWS Certified Data Engineer – Associate, AWS Certified Solutions Architect – Associate).
• Experience with large-scale on-prem to AWS data migrations.
• Familiarity with data governance, compliance, and auditing tools.
• Exposure to data lake architecture and AWS services like Glue, Athena, or Kinesis is a plus.