Senior Engineer AWS + SAP

Fractal; Bengaluru; On-site; INR 3,000,000 - 5,000,000; Full time

Job summary

Fractal in Bengaluru is seeking a Data Engineer with 7+ years of experience to design scalable AWS pipelines and SAP-native data extraction. You will implement CI/CD for data workflows and ensure reliable deployments.

You will work with Python, SQL, Spark and AWS components (S3, Glue, Redshift). The role emphasizes governance, security, and performance of data systems within a fast-growing environment.

Qualifications

• 7+ years of data engineering experience.
• Strong AWS data stack expertise.
• Experience with CI/CD for data workflows.
• SAP native data extraction (HANA/BW/ABAP).

Responsibilities

• Design and build scalable data pipelines on AWS (S3, Glue, Lambda, Redshift/EMR as applicable).
• Implement and maintain CI/CD pipelines for data workflows (GitHub Actions / Azure DevOps).
• Extract and integrate data from SAP HANA, BW, and ABAP layers.
• Ensure automated deployments, version control, and environment stability.
• Monitor pipelines, perform incident resolution, and root cause analysis.
• Enforce data governance, security, and performance optimization.

Skills

Python

SQL

Spark

AWS

CI/CD

DevOps

SAP HANA

SAP BW

ABAP

Tools

AWS data stack

Job description

Data Engineer (AWS + CI/CD + SAP Native Focus)

It's fun to work in a company where people truly BELIEVE in what they are doing! We're committed to bringing passion and customer focus to the business.

Role Summary

We are hiring a Data Engineer with +7 years experience, strong expertise in AWS-based data engineering and CI/CD, combined with deep experience in SAP native systems (HANA, BW, ABAP). This role focuses on building scalable pipelines, ensuring deployment reliability, and managing backend data integration.

Key Responsibilities

• Design and build scalable data pipelines on AWS (S3, Glue, Lambda, Redshift/EMR as applicable).
• Implement and maintain CI/CD pipelines for data workflows (GitHub Actions / Azure DevOps).
• Extract and integrate data from SAP HANA, BW, and ABAP layers.
• Ensure automated deployments, version control, and environment stability.
• Monitor pipelines, perform incident resolution, and root cause analysis.
• Enforce data governance, security, and performance optimization.

Core Skills

• Strong Data Engineering (Python, SQL, Spark optional)
• Deep experience with AWS data stack
• Strong CI/CD and DevOps practices
• Strong SAP Native knowledge (HANA, BW, ABAP extraction logic)
• Experience in pipeline orchestration and monitoring