Responsibilities and JD in brief along with additional criteria to be considered:
• Design, develop and maintain scalable data pipelines on AWS. • Build ETL/ELT workflows using AWS Glue, Python and PySpark, with AWS S3 as the data-lake storage layer. • Develop and optimize Databricks workloads and Delta Lake implementations. • Write complex SQL queries for transformation, validation and performance optimization. • Design logical and physical data models to support analytics and reporting requirements. • Implement automated CI/CD pipelines using AWS Dev Ops services such as Code Pipeline, Code Build and Code Deploy. • Apply Git-based version control and Dev Ops practices for build, deployment, monitoring and release management. • Ensure data quality, security, governance, performance tuning and production support. • Collaborate with architects, business stakeholders and downstream consumers in an Agile delivery model.
Any additional things to be checked:




• Strong hands-on AWS data engineering experience, including AWS S3 and AWS Glue. • Hands-on coding proficiency in Python, PySpark and SQL. • Experience in Databricks and Delta Lake-based data processing. • Practical data-modeling experience for analytics and reporting use cases. • Experience implementing CI/CD pipelines in AWS using Code Pipeline, Code Build, Code Deploy or equivalent tools. • Working knowledge of Git and Infrastructure as Code using Terraform or AWS Cloud Formation. • Positive communication, problem-solving and client-interaction skills.
Location(s) where this position can work out of- Bangalore / Hyderabad Desired experience range- 7 to 12 years
*Must have skills - 2 skills which are non-negotiable 1. AWS Glue , S3 2. PySpark *Desirable skills - 1 skill which is nice to have Databricks with Delta Lake

📌 AWS Data Engineer (India)
🏢 Bizoforce - The Innovation Platform Accelerating Digital Solutions for Enterprises
📍 India