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TT

Data Engineer

Talent Technical Services, Inc
πŸ‡ΊπŸ‡Έ United States
Remote
4 months ago
$55 – $65 / hour
  • Data Architecture
  • SQL
  • ETL
  • ELT
  • Azure
  • Jira
  • Confluence
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Sample Tasks

  • Validate migrated data in target systems to ensure that it accurately reflects source Informix data
  • Analyze legacy Informix datasets to identify remaining system dependencies and active data usage
  • Identify data that was not migrated, is incomplete, or does not match source system values
  • Perform root cause analysis on data discrepancies and failed or incomplete migrations
  • Review prior migration strategies, scripts, and processes to assess effectiveness
  • Develop and execute plans to migrate remaining required data to modernized systems
  • Build comparison queries and reconciliation pipelines across Informix, staging, and production environments
  • Confirm whether staging data is sufficient to recreate missing documents and records
  • Assess and validate archived data across storage types (e.g., magnetic, optical, paper)
  • Collaborate with business SMEs to determine data retention requirements and resolve data gaps
  • Document current and future state data architecture, including ERDs and data flow diagrams
  • Provide recommendations and support planning activities for Informix system retirement
  • Support broader data research and initiatives across the agency as needed
  • Provide knowledge transfer and documentation to State staff
  • Perform other related duties as assigned.

Desired Qualifications

  • Experience designing relational databases and using SQL to interact with data (Informix and/or SQL Server preferred)
  • Experience in data migration, validation, and reconciliation for legacy-to-modern system transitions
  • Experience reviewing and working with existing ETL/migration scripts and processes
  • Experience building ETL/ELT workflows and working with staging vs. production data environments
  • Experience performing data analysis and root cause investigation in complex or ambiguous environments
  • Experience complying with data quality, data governance, and records retention requirements
  • Experience documenting data architecture (e.g., ERDs, data flows)
  • Experience managing data within cloud platforms (e.g., Azure)
  • Experience using collaboration tools such as Jira and Confluence
  • Experience communicating effectively with and working with both technical teams and business stakeholders

Data Engineer Β· Talent Technical Services, Inc

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