Data Meaning is hiring a
Data Engineer

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Data Meaning

πŸ’΅ ~$150k-$200k
πŸ“Remote - Worldwide

Summary

Join our team as a Mid-Level Data Engineer for a short-term, 4-week project. We're looking for someone with strong experience in SQL Server Integration Services (SSIS) to design, develop, and maintain ETL processes.

Requirements

  • 3+ years of experience working as a Data Engineer, with a strong focus on SSIS
  • Proficient in SQL and experience with SQL Server database management
  • Hands-on experience with ETL design, development, and implementation
  • Solid understanding of data modeling, data warehousing, and data transformation techniques
  • Familiarity with data governance, data quality principles, and best practices
  • Strong analytical and problem-solving skills with attention to detail
  • Ability to work independently and manage time effectively in a fast-paced environment
  • Must be US-based and eligible to work in the US (US Citizen/Permanent Resident)

Responsibilities

  • Design, develop, and maintain ETL processes using SSIS to ensure smooth data flows between systems
  • Collaborate with stakeholders to understand data requirements and translate them into actionable data integration solutions
  • Optimize and troubleshoot SSIS packages for performance and reliability
  • Manage, transform, and integrate large datasets from various sources into existing databases
  • Ensure data quality and consistency throughout the ETL lifecycle
  • Document data workflows, processes, and technical requirements
  • Review and document all dependencies between SSIS jobs and other systems (databases, applications, or external data sources)
  • Capture the detailed logic of each SSIS package, including data sources, transformations, and destinations
  • Document how error handling and logging are set up within each SSIS job
  • Review and document the scheduling mechanism (e.g., SQL Server Agent) for SSIS job execution, along with any automation or trigger conditions

Preferred Qualifications

  • Experience working with cloud data platforms (e.g., Azure, AWS)
  • Familiarity with other ETL tools or scripting languages like Python
  • Understanding of data security and compliance standards

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