Key Responsibilities:

Databricks Architecture & Governance

Design and implement robust data pipelines utilizing the Databricks Lakehouse platform. Take ownership of data governance, security, and fine-grained lineage using Unity Catalog.

Rapid Prototyping & Demos

Quickly conceptualize, build, and present functional, end-to-end data and AI demos (e.g., live dashboards, real-time pipelines, or LLM/RAG prototypes) to stakeholders and clients.

Core Data Engineering

Build scalable, productive ETL/ELT pipelines using Spark (PySpark/SQL), Delta Lake, and structured streaming. Ensure optimal performance tuning, partitioning, and cost-management of Databricks clusters.

Global Collaboration & Autonomy

Work independently with minimal supervision, managing your own schedule to align with global, cross-functional teams.

Required Skills & Qualifications:

Databricks & Governance Mastery

Proven track record implementing Databricks Unity Catalog for data governance, access control, and data lineage.

Deep understanding of Databricks architecture, including Delta Lake, serverless compute, and Workflows.

Core Data Engineering Excellence





Solid foundational knowledge of data engineering principles (star schemas, dimensional modeling, data warehousing vs. data lakes).

Advanced proficiency in Python/PySpark and SQL.

Experience building robust orchestrations and handling both batch and real-time streaming data.

Experience in building AI/ML workloads (e.g., MLflow, LLM integration, or RAG frameworks) within Databricks.

Agility & Communication

Exceptional ability to build quick, concrete POCs (Proof of Concepts) and technical demos that clearly translate data capabilities into business solutions.

Excellent communication skills, with the ability to clearly articulate technical concepts to both technical and non-technical audiences.

Preferred Qualifications

Certifications such as Databricks Certified Data Engineer Professional or Databricks Certified Machine Learning Skilled.

Experience integrating Databricks with enterprise ecosystems, cloud provider native services (AWS/Azure/GCP), or modern BI tools.

📌 Senior Data & Ai Engineer Databricks Specialist Telangana (India)
🏢 Cognida
📍 India