Lead the technical migration of legacy data warehouses and pipelines to an Azure and Databricks lakehouse, guiding engineering teams on reusable patterns, data reconciliation, quality, and performance.
la26.031 - Data Engineering Lead
π Description
- Spearhead development and deployment of complex data infrastructure.
- Ensure high-quality data availability for analytics and AI initiatives.
- Use Claude AI across the software development life cycle to optimize workflows and improve automation.
- Process and analyze large datasets with Databricks and Spark/Scala.
- Implement Claude AI solutions in Azure and support cloud integration and deployment.
π οΈ Requirements
- Proficiency using Claude AI throughout the software development life cycle.
- Hands-on experience with Databricks and Spark/Scala.
- Expertise implementing Claude AI solutions in Azure.
- Ability to use these technologies to optimize development workflows, improve automation, and enhance project outcomes.
β¨ Benefits
- A collaborative and innovative work environment.
- Opportunities to work on impactful projects with global clients.
- Competitive salary and benefits tailored to mid to senior professionals.
- Continuous learning and career development opportunities.
- Flexible working arrangements based in Mexico.
Full job description
Tiger Analytics Inc. is a premier AI and advanced analytics consulting firm focused on delivering innovative and scalable data solutions to leading global enterprises. We empower organizations by leveraging cutting-edge technologies and data-driven strategies. We are looking for an experienced Data Engineering Lead to spearhead the development and deployment of complex data infrastructure, ensuring high-quality data availability for analytics and AI initiatives.
Requirements
- Claude AI Skills for SDLC: Proficiency in utilizing Claude AI throughout the Software Development Life Cycle (SDLC) is essential. This includes hands-on experience with Databricks and Spark/Scala to efficiently process and analyze large datasets. Additionally, expertise in implementing Claude AI solutions within the Azure cloud environment is required, ensuring seamless integration and deployment in cloud-based infrastructures. Candidates should demonstrate the ability to leverage these technologies to optimize development workflows, improve automation, and enhance overall project outcomes.
Benefits
- A collaborative and innovative work environment.
- Opportunities to work on impactful projects with global clients.
- Competitive salary and benefits tailored to mid to senior professionals.
- Continuous learning and career development opportunities.
- Flexible working arrangements based in Mexico.
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