Senior Technical Lead

About the role

The Data Engineer is responsible for designing, building, and operating high-quality, scalable, and reusable data services that support analytics, AI, and GenAI use cases across business domains. In this role, you will design and work hands-on with data pipelines, data models, orchestration frameworks, storage layers, and observability tooling.

What you'll do

• Data Platform & Services Engineering
• Build and maintain scalable data pipelines and ingestion frameworks for batch, streaming, and event-driven data
• Develop and maintain modular data models and semantic layers optimized for analytics, BI self-service and AI use cases
• Implement and operate orchestration workflows (e.g., Databricks Workflows) and compute engines (Spark, SQL, Python)
• Work with storage technologies such as Delta Lake, ADLS, feature and vector stores. Data Quality, Governance & Observability

What you need

• 5–9 yrs of experience
• Python
• SQL
• LLMs
• ETL
• Databricks
• Spark
• Any graduate

Good to have

• Data modelling
• Data privacy
• Machine learning
• CI/CD
• dbt