AWS Data Engineer

2 days ago

Pasig, National Capital Region, Philippines Seven Seven Global Services, Inc. Full time $100,000 - $120,000 per year

We are looking for a highly skilled AWS Data Engineer to design, build, and optimize scalable data pipelines and cloud-native solutions on Amazon Web Services. The ideal candidate has strong experience in modern data engineering practices, big data processing, and end-to-end cloud data architecture.


Key Responsibilities
  • Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as Glue, Lambda, Step Functions, EMR, Athena, and Redshift.
  • Build and manage data lakes, ensuring organized, secure, and optimized storage on Amazon S3.
  • Develop and maintain data warehouse solutions on AWS Redshift and implement performance tuning strategies.
  • Implement and automate data ingestion frameworks from structured and unstructured data sources.
  • Collaborate with data scientists, analysts, and business teams to transform business requirements into reliable data models and pipelines.
  • Optimize data workflows for high availability, cost efficiency, and performance.
  • Implement and enforce data governance, security, compliance, and IAM policies across the data ecosystem.
  • Monitor and troubleshoot data pipelines using CloudWatch, Glue logs, and other observability tools.
  • Work with CI/CD tools (CodePipeline, CodeBuild, GitHub, Jenkins) to automate deployments.
  • Develop and maintain documentation for architecture, data flows, and operational processes.

Required Skills & Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, or related field.
  • Strong hands-on experience with AWS cloud services (S3, Glue, Lambda, Redshift, EMR, Athena, DynamoDB, Kinesis).
  • Proficiency in Python, PySpark, or Scala for data processing and automation.
  • Strong experience with SQL, data modeling, and database optimization.
  • Experience with big data frameworks (Spark, Hadoop) on AWS.
  • Solid understanding of data warehousing, star/snowflake schemas, and best ETL design practices.
  • Familiarity with CI/CD pipelines, Git, and container technologies like Docker.
  • Knowledge of security best practices, including encryption, IAM, and VPC networking.
  • Strong analytical, problem-solving, and communication skills.

Preferred Qualifications
  • Experience with AWS Glue Studio, Glue Data Catalog, and schema management.
  • Knowledge of machine learning data preparation and integration with services like SageMaker.
  • Experience with Terraform or CloudFormation for infrastructure-as-code (IaC).
  • AWS Certification (e.g., AWS Data Analytics Specialty, AWS Solutions Architect) is a plus.

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