Sr. Data Engineer

Key Responsibilities:

·         Design, develop, and maintain scalable ETL/ELT pipelines using Python, PySpark, and SQL.

·         Build and optimize data processing workflows using Databricks.

·         Develop cloud-based data solutions using AWS S3, Lambda, CloudWatch, IAM, and SNS.

·         Perform data transformation, cleansing, validation, and integration across multiple data sources.

·         Implement Infrastructure as Code using Terraform and support CI/CD pipelines using Azure DevOps, Git.

·         Monitor, troubleshoot, and optimize data pipelines and production environments.

·         Collaborate with architects, developers, business teams, and DevOps teams to deliver scalable data solutions.

·         Participate in code reviews, testing, documentation, and Agile/Scrum activities.

Candidate Must have over 10+ Years of experince and Must attend In-person Interview for the 1st Round