About the role

  • Design, develop, and maintain data pipelines using AWS Glue, AWS Lambda, Airflow, and complementary AWS services
  • Implement and optimize ETL/ELT processes for ingesting, transforming, and provisioning structured and unstructured data
  • Build distributed architectures using EC2, S3, IAM, CloudWatch, VPC, and other AWS components
  • Ensure data quality, integrity, and governance throughout the data lifecycle
  • Monitor systems, optimize performance, and reduce costs for data workloads
  • Collaborate with analytics, engineering, and product teams to advance data-driven solutions
  • Apply best practices for security, code versioning, and automation (CI/CD)

Requirements

  • Proven experience with AWS Glue (Jobs, Crawlers, Data Catalog)
  • Strong proficiency with Airflow for pipeline orchestration
  • Experience provisioning and operating EC2 instances
  • Advanced Python skills (including data manipulation libraries)
  • Experience with relational and non-relational databases (Redshift, RDS, DynamoDB, etc.)
  • Knowledge of S3, IAM, CloudWatch, SNS/SQS, and Lambda
  • Experience with Git and CI/CD tools
  • Familiarity with data modeling, Data Lake, and Data Warehouse concepts
  • Experience with Terraform or CloudFormation (preferred)
  • Knowledge of Redshift Spectrum, Athena, and Lake Formation (preferred)
  • Experience with big data environments (Spark, EMR, Databricks) (preferred)
  • AWS certifications (Data Analytics, Solutions Architect, DevOps, etc.) (preferred)
  • Ability to solve complex problems autonomously and strong communication skills for interacting with business stakeholders

Benefits

  • Hybrid work model in Alphaville
  • Collaborative, results-driven and innovation-oriented environment
  • Autonomy to propose solutions and drive continuous improvements

Job title

Data Engineer – AWS Stack

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

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