Our client is seeking a
Data Engineer
with
5+ years of hands-on experience
to build an AI-enablement layer on top of its enterprise Finance data platform. The role focuses on designing, building, and operating trusted datasets, semantic models, governed data products, and embedded natural-language analytics using
Snowflake and/or Databricks
.

This is a
data platform engineering role
, not a data science or model-building role. The successful candidate will build the governed data foundation that makes enterprise AI reliable, secure, and accessible to Finance business users.

Key Responsibilities
- Build AI-ready, governed data products on Snowflake and/or Databricks with clearly defined KPIs, hierarchies, and business semantics.
- Develop semantic layers and trusted datasets for BI reporting and natural-language querying.
- Configure and optimize Snowflake Cortex capabilities and/or Databricks Genie spaces for accuracy and business relevance.
- Build RAG pipelines and conversational analytics applications using Streamlit or Databricks Apps.




- Develop and maintain ETL/ELT pipelines using dbt, Airflow, Snowpark, PySpark, SQL, and Python.
- Implement data governance controls, including RBAC, row- and column-level security, masking, lineage, metadata management, and auditability.
- Collaborate with Finance stakeholders while optimizing platform performance, compute costs, and LLM usage.

Required Skills
- 5+ years of hands-on data engineering experience on cloud data platforms.
- Demonstrated real-world project delivery experience with
Snowflake
and/or
Databricks
.
- Direct hands-on experience building, configuring, and tuning
Snowflake Cortex capabilities or Databricks Genie spaces with semantic models
in production or advanced pilots.
- Proven experience delivering semantic layers and trusted, governed data products.
- Strong understanding of KPI definitions, business hierarchies, data semantics, and business glossary alignment.
- Solid hands-on expertise in
dbt, Py

📌 Data Engineer – Snowflake/Databricks | 5+ Years | Hyderabad | Immediate Joiners Only
🏢 YMinds.AI
📍 Hyderabad