Cross-functional partnership: Work with sales, engineering, and product teams to share feedback and drive continuous improvement of the Fivetran ecosystem. Skills and qualifications:
Data integration and pipeline management: Design, develop, and maintain robust data pipelines using Fivetran to extract, load, and transform data from diverse sources like applications, databases, and APIs.
Stakeholder collaboration: Partner with data analysts, data scientists, and business stakeholders to understand data needs and deliver data solutions that meet business objectives.
Technical support and troubleshooting: Provide technical guidance and assistance to ensure the successful adoption of Fivetran. Troubleshoot and resolve any technical issues that arise with connectors or data ingestion.
Documentation and governance: Maintain documentation for data architecture, processes, and workflows, ensuring data security and compliance with company policies.
Cloud data warehousing: Manage and optimize data models and data warehouses on cloud platforms, including performance tuning and schema design.
Requirements
azure
fivetran
dbt
sql
data engineering
communication
Experience working with various databases, both on-premise and in the cloud (e.g., Oracle, SQL Server, PostgreSQL). Additional Information:
Experience with a major cloud platform -Azure.
Strong communication and analytical skills, with the ability to explain complex technical concepts to non-technical audiences.
Proficiency in SQL scripting and a strong understanding of data warehousing concepts.
Proven experience in data engineering, data integration, or a related technical field.
A 15 years full time education is required.
Hands-on experience configuring and managing Fivetran connectors for data integration.
The candidate should have minimum 7.5 years of experience.
Knowledge of data transformation tools such as dbt.