Senior Data Engineer

We’re Hiring | Senior Databricks Engineers

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.

🔹 Emerging Databricks & AI Capabilities (Good to Have)

• 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.

🔹 Experience & Communication

• 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.