Our client needs a Senior Data Engineer who can design and develop data pipelines to support system integrations and analytical platforms. They are looking for someone who can lead large-scale, enterprise-wide initiatives while collaborating with Product Owners and cross-functional technical teams. The ideal candidate should be able to deliver scalable, versátil, and high-quality solutions aligned with data architecture and governance strategies, leveraging modern cloud technologies such as Snowflake or Databricks.
Responsibilities include, but is not limited to:
- Design and develop data pipelines and integrations that are performant, scalable, and flexible.
- Work with project teams to deliver system integration pipelines, ensuring a high degree of reliability and resiliency.
- Work with business users and project teams to provide SME guidance, finalize pipeline requirements, and develop level of effort estimates.
- Develop automated testing and deployment scripts to support integrations and pipelines.
- Provide database support by coding utilities, responding to user questions, and resolving problems.
- Create and maintain documentation of data pipelines, including data flow and data lineage documentation.
- Be responsible for Tier 3 support and assist the Operations Team as required to provide a great customer experience for users.
- Be responsible for overall data quality as it relates to the Enterprise Data Warehouse and associated Data Marts. Provide data analysis as required to troubleshoot data issues.
- Assist with integration-related code reviews and mentor junior developers.
- Implement data governance and master data management principles as part of data pipeline development and delivery.
Qualifications
- Lakehouse Architecture: Hands-on experience building Lakehouse solutions on Databricks (Delta Lake, Unity Catalog) or Snowflake (Iceberg Tables, Horizon Catalog).
- Medallion Architecture: Proven ability to design Br
📌 Senior Data Engineer (Argentina)
🏢 Sky Systems, Inc. (SkySys)
📍 Argentina
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