Job description
- Liaison with multiple stakeholders to understand the business requirements and work with team members to support the product requirement mapping to the rest of the engineering track.
- Work with other team members to support high-quality delivery and keep a balance with customer focus to meet business needs.
- Experience in building Source to target mapping sheets in discussion with source SME's and businesses and working with data modelers and Data Engineers to build & validate the E2E data flow.
- Experience with automated tools to extract data from primary and secondary sources.
- Utilize technical expertise to ensure data is accurate and high-quality.
- Demonstrate excellent communication skills and maintain a consistent record of delivering results in a fast-paced environment.
- Work in Cloud environments and have expertise in using object stores, and other common cloud-native data storage and processing frameworks.
- Demonstrate ability to design & implement performant, scalable, resilient, reliable, and understandable data pipelines.
- Exhibit deep expertise in modern data engineering approaches and awareness of leading technology trends.
- Work with implementation teams from concept to operations, providing deep technical subject matter expertise for successfully deploying large-scale data solutions in the enterprise, using modern data/analytics technologies on the cloud.
- Demonstrate strong interpersonal and communication skills (both written and verbal), including speaking clearly and persuasively in positive or negative situations.
- Effectively collaborate with teams for problem-solving and resolving issues.
Job Type: Contract
Pay: $40.00 - $50.00 per hour
Experience level:
- 5 years
Schedule:
- 8 hour shift
Experience:
- mapping technique: 5 years (Preferred)
- finance and: 3 years (Preferred)
Work Location: Remote
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