Key Skills: Pyspark, AWS, Databricks, Data Modelling, SQL, Python, Airflow, GIT, CICD

Roles and Responsibilities:

- Design and build scalable data pipelines and transformation workflows on AWS and Databricks

- Develop productive Python, SQL, and PySpark solutions for batch data processing and data preparation

- Implement robust data models and warehouse-ready datasets to support reporting and analytics use cases

- Orchestrate and maintain scheduled data workflows using Airflow and related cloud services

- Partner with engineering and analytics teams to deliver trusted, reusable data assets across the platform

Skills Required:

- 6-12 years of relevant data engineering experience

- Strong hands-on experience with AWS, Python, PySpark, SQL, Databricks, data modelling, and Airflow

- Experience designing cloud-based data platforms and building scalable data processing solutions

- Ability to write complex SQL and optimize data transformations for large datasets

- Experience delivering production-grade data pipelines and integrating data from multiple sources

Good to Have

- Git

- CI/CD

Education: Bachelor's degree in Computer Science or related field; Master's degree preferred

📌 Lead AWS Data Engineer (Chennai)
🏢 Careernet
📍 Chennai