Senior Engineer AWS + SAP

Fractal Analytics Ltd.; Bengaluru; On-site; INR 2,400,000 - 3,800,000; Full time

Job summary

Fractal Analytics Ltd. is seeking a Data Engineer with 7+ years of experience to design scalable data pipelines on the AWS stack and implement robust CI/CD for data workflows.

You will work with SAP Native systems (HANA, BW, ABAP) to extract, transform, and integrate data, ensuring deployment reliability and governance across environments.

Qualifications

• 7+ years of data engineering experience.
• Strong AWS data stack expertise.
• Proven experience building scalable data pipelines.
• CI/CD and DevOps practices in data workflows.
• Deep SAP Native knowledge (HANA, BW, ABAP).

Responsibilities

• Design and build scalable data pipelines on AWS (S3, Glue, Lambda, Redshift/EMR).
• 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.

Skills

Python

SQL

Spark

AWS data stack

CI/CD & DevOps

SAP Native (HANA/BW/ABAP)

Data pipelines

Monitoring

Tools

GitHub Actions

Azure DevOps

Job description

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

We are hiring a Data Engineer with over 7 years of 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.

Responsibilities

• Design and build scalable data pipelines on AWS (S3, Glue, Lambda, Redshift/EMR).
• 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