Senior Data Engineer
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We are building a team of Senior Databricks Engineers for a leading global advanced analytics company, with opportunities to work on enterprise-scale data platforms, modern Lakehouse architectures, and AI-driven analytics solutions.
We’re looking for hands-on professionals with strong Databricks and Data Engineering expertise, along with exposure to emerging Databricks and AI capabilities.
Core Technical Skills- Strong experience with Databricks, Apache Spark, PySpark, Python, and SQL.
- Expertise in building scalable ETL/ELT pipelines, data integration solutions, and enterprise data platforms.
- Hands-on experience with Delta Lake, Lakehouse Architecture, and Medallion Architecture.
- Experience with Databricks Workflows, Lakeflow, and performance optimization.
- Experience with Unity Catalog, data governance, security, and access controls.
- Strong understanding of AWS, Azure, or GCP cloud environments.
- Familiarity with CI/CD, automation, and production-grade data engineering practices.
- Databricks AI/BI Genie and conversational analytics.
- Mosaic AI, MLflow, Model Serving, and Vector Search.
- Exposure to Generative AI, LLMs, RAG, and Agentic AI.
- Experience building AI-powered analytics solutions.
- 7+ years of experience in Data Engineering, with strong hands-on Databricks expertise.
- Bilingual proficiency is mandatory, Strong English communication skills and experience collaborating with global teams.
We’re looking for engineers who combine deep technical expertise, strong problem-solving skills, and a passion for building modern Data & AI platforms.
Hands-on Databricks engineering experience and bilingual proficiency are essential. Exposure to emerging AI capabilities is a strong plus.
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