Data Engineer

r3 Consultant; Hyderabad; On-site; INR 900,000 - 1,500,000; Full time

Job summary

r3 Consultant is seeking a Data Engineer in India with 5-10 years of experience, focusing on Azure, Databricks, and PySpark. The role involves designing scalable data pipelines and leveraging cloud data platforms to deliver reliable data solutions.

The candidate will work across locations including Bengaluru, Noida, or Hyderabad, collaborating with analytics teams, optimizing data flows, and guiding best practices in data governance. Immediate to 15 days NP.

Qualifications

• 5–10 years of hands-on data engineering experience.
• Strong expertise in Azure Databricks and PySpark.
• Experience building scalable data pipelines on cloud platforms.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks and PySpark.
• Work with Azure data services for ingestion, transformation, and storage.
• Optimize data workflows for performance and reliability.
• Collaborate with analytics and business teams to understand data requirements.
• Implement data engineering best practices and governance.
• Participate in client discussions and technical evaluations.
• For senior roles, mentor junior team members and contribute to architecture.

Skills

Microsoft Azure

Azure Databricks

PySpark

Tools

SAP HANA

SAP BW

Job description

Data Engineer

Exp- 5-10 Yrs

Location- Bengaluru / Noida / Hyderabad

NP- Immediate to 15 Days

Job Summary

We are looking for experienced Data Engineers with strong expertise in Azure, Databricks, and PySpark. The ideal candidate should have hands‑on experience in building scalable data pipelines and working on cloud‑based data platforms. Candidates with exposure to SAP HANA or SAP BW will be preferred.

Mandatory Skills

• Microsoft Azure
• Azure Databricks
• PySpark

Good to Have

• SAP HANA
• SAP BW

Roles and Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks and PySpark.
• Work on Azure data services for data ingestion, transformation, and storage.
• Optimize and monitor data workflows for performance and reliability.
• Collaborate with analytics and business teams to understand data requirements.
• Implement best practices in data engineering and data governance.
• Participate in client discussions and technical evaluations.
• For senior/lead roles, guide junior team members and support architectural decisions.

Skills to be Evaluated

• Azure Data Engineering concepts
• Databricks architecture and optimization
• PySpark development and performance tuning
• Data Engineering and Analytics fundamentals