Dataops

Softtek

Ensenada, Mexico
On-site
Aws services (s3, redshift, glue, iam)
Data pipeline design and maintenance
Data lake and data warehouse architectures
Design, build, and maintain data pipelines in AWS, including data lake and data warehouse pipelines using Amazon S3 and Redshift

Job Summary

  • Design, build, and maintain data pipelines in AWS, including data lake and data warehouse pipelines using Amazon S3 and Redshift.
  • Deploy data infrastructure and pipelines using Terraform, and manage AWS permissions and IAM policies for data platform access.
  • Monitor data pipelines and AWS services, perform root cause analysis for issues, and integrate external platforms like Segment, Shopify, and GA4.

Matching Summary

Design, build, and maintain data pipelines in AWS, including data lake and data warehouse pipelines using Amazon S3 and Redshift.

Skills & Requirements

Must-have

  • AWS services (S3, Redshift, Glue, IAM)
  • Data pipeline design and maintenance
  • Data lake and data warehouse architectures
  • Workflow orchestration tools (Airflow)
  • Terraform for data infrastructure deployment
  • AWS monitoring, alerting, and cost management
  • AWS permissions and access policies

Nice-to-have

  • Integrate external data sources
  • Root cause analysis of data pipeline issues
  • Collaboration and communication skills
  • Advanced English proficiency

Key Requirements

  • Experience as a DataOps Engineer
  • Proficient in AWS
  • Advanced English

Work Rights

Not specified

Tailored Resume

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