Description

Key Skills: AWS, Databricks, PySpark, ETL, Delta Live Tables, Data Modeling, Pipeline Optimization, Cloud Architecture

Good to Have Skills: CI/CD, DevOps, data governance frameworks, AWS or Databricks certifications, Agile delivery experience, and team leadership skills.

Roles & Responsibilities:

• Design and implement scalable data engineering solutions on AWS and Databricks platforms.
• Develop and optimize ETL/ELT pipelines using PySpark and Delta Live Tables.
• Lead architecture discussions and recommend best-fit data solutions for business requirements.
• Collaborate with business stakeholders and clients to understand requirements and translate them into technical solutions.
• Drive technical conversations, solution presentations, and client communication to build confidence.
• Mentor engineering teams and ensure best practices in data engineering and cloud architecture.
• Ensure performance, scalability, security, and reliability of data platforms and solutions.

Experience Required: 10-13 years of experience with strong hands-on expertise in modern data lakehouse architecture, data modeling, orchestration, and pipeline optimization

Key Skills

Education

Any Graduate