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Sedona Digital

Experts in software development and cloud technologies.

Senior Data Engineer, AWS

Data EngineerData EngineerPart TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

87 days ago

Salary

0

Seniority

Senior

Bachelor Degree5 yrs expEnglishAmazon RedshiftAWSAzureETLPythonSQL

Job Description

Senior Data Engineer, AWS

Sedona Digital

• Design, build, and maintain data pipelines and ingestion frameworks on AWS using services such as AWS Glue, S3, and Redshift. • Implement and maintain S3‑based data lakes, including raw, staged, and curated layers, following agreed standards and best practices. • Set up and optimize Amazon Redshift environments, including schema design, distribution and sort key strategies, and performance considerations. • Develop reliable ingestion patterns for file‑based and database sources, including SFTP‑to‑S3 workflows. • Implement secure secrets management using AWS Secrets Manager, ensuring credentials are never stored in code or configuration files. • Build reusable, maintainable transformation logic aligned with agreed modelling and semantic‑layer principles. • Monitor, troubleshoot, and improve pipeline reliability, data quality, and operational stability. • Collaborate with architects, analysts, and client stakeholders to translate requirements into scalable data solutions. • Contribute to defining and enforcing data engineering standards, security practices, and governance patterns. • Support clients during platform adoption, knowledge transfer, and handover.

Job Requirements

  • Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience).
  • 5+ years of experience in data engineering, ETL/ELT development, and data integration.
  • Strong hands‑on experience with AWS, including S3, AWS Glue, Amazon Redshift, and IAM.
  • Solid understanding of data lake and data warehouse architectures.
  • Experience designing and operating batch‑oriented data pipelines at scale.
  • Strong SQL skills and experience with data modelling (facts, dimensions, semantic layers).
  • Experience with Python for data processing, automation, or Glue jobs.
  • Familiarity with secure credential handling and secrets management patterns.
  • Ability to work independently, manage changing priorities, and make pragmatic technical decisions.
  • Strong communication skills in English, with the ability to explain technical concepts clearly.
  • Exposure to Redshift Spectrum, Athena, or lakehouse patterns (Nice to Have).
  • Familiarity with Snowflake or Databricks and ability to compare trade‑offs (Nice to Have).
  • Experience working in regulated or security‑sensitive environments (Nice to Have).
  • Understanding of CI/CD practices for data platforms (Nice to Have).
  • Previous experience supporting discovery or early‑phase platform design engagements (Nice to Have).
  • Exposure to or certification in Microsoft Azure is considered a plus (Nice to Have).

Benefits

  • Work from home
  • Medical insurance given after probation period
  • Training on market trends and client needs
  • Continuous learning and personal development opportunities
  • Holiday allowance in line with local legislation
  • Competitive compensation package
  • Performance - based bonus
  • Fun budget for team events

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