Senior Data Engineer
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Job Description
Data Engineer position at fusionSpan focusing on ETL technologies, data analysis, and cloud data platforms. Join a fast-growing company with a global team and make an impact on data strategy.
Responsibilities:
- Utilize extract/transform/load ETL technologies using snowflake and other cloud data platforms
- Interpret data, analyze results using statistical techniques and provide ongoing reports
- Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality
- Acquire data from primary or secondary data sources and maintain databases/data systems
- Evaluate and optimize data structures
- Identify, analyze, and interpret trends or patterns in complex data sets
- Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
- Monitor, troubleshoot, and improve pipeline transparency, performance, scalability, and reliability, using Snowflake OpenFlow and related ELT/ETL tools
- Ensure AI/ML readiness of data by preparing and maintaining semantic models, ensuring robust data quality, and establishing and enforcing data access
- Produce field mapping and translation documentation for use in both manual and scripted migrations
- Work within Agile methodology managing tasks and tickets as assigned
- Communicate with clients and team members for requirements gathering, clarification, and planning for data conversions
- Document work and work processes for use by team members.
Requirements:
- 3+ years of experience with an ETL tool is required such as Talend, Fivetran, Matillion, Airbyte
- 4+ Experience using SQL and RDBMS is required
- 2+ Experience with AWS/Azure cloud databases/data lakes
- 1+ years of active and frequent coding experience in Python required
- Experience with ERP solutions such as SAP and CRM solutions such as Salesforce preferred
- Mastery of Excel
Benefits:
- health insurance
- retirement plans
- paid time off
- flexible work arrangements
- professional development
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