Data Engineer
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Job Description
Data Engineer responsible for building and maintaining data pipelines for enterprise analytics at Mastercam. Collaborating with teams to enhance data architecture and support business intelligence.
Responsibilities:
- Design, develop, and maintain scalable data pipelines that ingest and transform data from enterprise platforms including NetSuite, Salesforce, HubSpot.
- Develop efficient ELT workflows using modern integration tools such as Fivetran, Integrate.io, Azure Data Factory, or similar technologies.
- Build and optimize SQL-based transformations and orchestration processes that support reliable and efficient movement of data across the organization’s data platform.
- Design and implement dimensional data models and curated datasets within a modern medallion architecture data warehouse environment.
- Develop and maintain data layers supporting development, test, and production environments across cloud data platforms including Azure Data Lake, Snowflake, or equivalent platforms.
- Monitor, troubleshoot, and optimize data platform performance, data pipeline reliability, and data quality across the enterprise data ecosystem.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Science, or a related technical discipline.
- 4 - 5 years of experience in data engineering, database development, or enterprise data warehousing environments.
- Demonstrated experience building and maintaining data pipelines and large-scale data integration processes.
- Experience working with SQL Server, relational database technologies, and modern cloud data platforms.
- Experience integrating and modeling data from SaaS business applications such as Salesforce, NetSuite, or HubSpot.
- Experience supporting analytics platforms and business intelligence tools such as SSAS, Power BI, or Tableau.
Benefits:
- Health insurance
- 401(k) matching
- Flexible work options
- Professional development opportunities
- Remote work options
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