AWS Data Engineers- Lambda, Python, Pysprak,Glue

🌟 We're Hiring: AWS Data Engineers! 🌟

We are seeking skilled AWS Data Engineers with expertise in Lambda, Python, PySpark, and Glue to join our dynamic team in Singapore. The ideal candidate will possess a strong background in data engineering and cloud technologies, driving efficient data processing and analytics solutions.

📍 Location: Singapore, Singapore

⏰ Work Mode: Work from Office

💼 Role: AWS Data Engineer

What You'll Do:

Key Responsibilities

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Design, develop, and maintain scalable data pipelines using PySpark on AWS.

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Build and orchestrate ETL/ELT workflows using AWS Glue and AWS Step Functions .

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Develop serverless applications and automation using AWS Lambda .

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Write clean, efficient, and maintainable Python/PySpark code following engineering best practices.

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Provision and manage cloud infrastructure using Terraform (Infrastructure as Code).

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Implement and maintain CI/CD pipelines to automate code deployment, testing, and infrastructure changes.

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Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.

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Collaborate with business stakeholders to deliver data solutions.

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Follow DevOps, security, and coding standards throughout the engagement.

Required Skills

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Strong hands-on experience with PySpark and Python for data engineering.

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Experience developing ETL pipelines using AWS Glue .

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Proficiency with AWS Step Functions for workflow orchestration.

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Experience building serverless solutions using AWS Lambda .

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Hands-on experience with Terraform for Infrastructure as Code (IaC).

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Experience implementing CI/CD pipelines using tools such as GitLab, GitHub Actions, Jenkins, or similar.

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Good understanding of AWS services, data lakes, IAM, S3, CloudWatch, and monitoring.

Ready to make an impact? 🚀 Apply now and let's grow together!