Data Engineer
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Job Description
Data Engineer in the Data & Integrations team at fusionSpan handling ETL and data analysis tasks. Flexibly working with global clients and optimizing data processes.
Responsibilities:
- Utilize extract/transform/load ETL technologies
- 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
- Create Business Intelligence dashboards for internal and external projects
- 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
- 4+ Experience using SQL and RDBMS is required
- 2+ Experience with AWS/Azure cloud databases/data lakes
- Experience with any BI tool is nice to have
- Experience with Salesforce is nice to have
- Mastery of Excel
Benefits:
- Health, dental, vision plan
- Life Insurance
- Long Term Disability
- Accidental Death & Dismemberment Insurance
- Pension Program
- 15 days of paid vacation
- 10 paid federal holidays
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