Data Meaning is hiring a
Data Engineer
Data Meaning
π΅ ~$150k-$200k
πRemote - Worldwide
Please let Data Meaning know you found this job on JobsCollider. Thanks! π
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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