Data Engineering Analyst

New
W
World Business LendersFinancial Services
Source API remote eligibility restrictions: Guatemala, 9:00am to 6:00pm Eastern Time, Monday through FridayFull-TimeMiddle
Salary not disclosed
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Job Details

Languages
English
Experience
4 to 7 years
Required Skills
PythonSQLCloud ComputingGitData modelingGitHub

Requirements

  • 4 to 7 years of experience as a Data Engineer.
  • Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent hands-on experience).
  • Strong SQL skills with data modeling experience for data warehouses.
  • Strong Python skills (especially notebooks) for building and maintaining data workflows.
  • Experience working with cloud-based data platforms and environments.
  • Experience developing and maintaining ETL/ELT processes.
  • Experience working with data warehouses used by reporting/business teams.
  • Experience using Git/GitHub for version control in collaborative environments.
  • Understanding of pipeline orchestration, dependency management, and data quality/validation fundamentals.
  • Hands-on data migration experience (schema mapping, transformation, data reconciliation, and validation).

Responsibilities

  • Improve data pipelines via automation with quality checks to ensure data accuracy, consistency, and reliability.
  • Reduce manual intervention and minimize errors within data processing workflows.
  • Perform migration of legacy systems to new systems including analysis, data transfer, and integration.
  • Maintain system performance and continuity during migration activities.
  • Ensure data integrity throughout all migration and pipeline engineering tasks.
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