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 DevOps services such as CodePipeline, CodeBuild and CodeDeploy.
- Apply Git-based version control and DevOps 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 CodePipeline, CodeBuild, CodeDeploy or equivalent tools.
- Working knowledge of Git and Infrastructure as Code using Terraform or AWS CloudFormation. • 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 (Bengaluru)
🏢 Bizoforce - The Innovation Platform Accelerating Digital Solutions for Enterprises
📍 Bengaluru