Data Engineer

T-Systems ICT India Pvt. Ltd; Karnataka; Hybrid; INR 1,300,000 - 1,500,000; Full time

Job summary

T-Systems ICT India Pvt. Ltd. in Bengaluru seeks a Data Engineer with 3–6 years of hands-on Azure data ecosystem experience. You will design and optimize scalable data pipelines using Azure Databricks, Azure Data Factory, and core Azure services, with a focus on performance and cost efficiency.

The role requires strong collaboration within an Agile/DevOps delivery environment, including CI/CD, Databricks Asset Bundles, and Git. Based in Bengaluru with three days in office weekly.

Qualifications

• 5–6 years of hands-on data engineering experience.
• Strong hands-on Azure data ecosystem experience with Databricks and Data Factory.
• Experience with CI/CD pipelines and Git-based deployment workflows.

Responsibilities

• Design, develop, and maintain scalable data pipelines on Azure.
• Build/optimize batch and incremental pipelines using Databricks and Data Factory.
• Implement data processing workflows with focus on performance and cost.
• Support analytics and reporting needs with best practices.
• Collaborate in an Agile/DevOps environment and contribute to CI/CD.
• Ensure pipeline stability via monitoring and troubleshooting.
• Collaborate with cross-functional teams to deliver high-quality data solutions.
• Contribute actively in an Agile and DevOps context.

Skills

PySpark

Azure data ecosystem

Git

Agile practices

DevOps practices

Analytical thinking

Communication skills

Tools

Azure Databricks

Azure Data Factory

Databricks Asset Bundles

CI/CD pipelines

Power Automate

Git tooling

Job description

Role: Data Engineer Experienced: 3-6 years Location: Bangalore

Job Description

We are seeking a skilled Mid-Level Data Engineer with strong experience in the Azure data ecosystem to design, build, and support scalable data pipelines and platforms. The ideal candidate will have mandatory hands-on experience with Azure Databricks, Azure Data Factory, and core Azure services, along with good problem-solving skills and experience in delivering performant, cost-efficient data solutions. This role requires strong technical execution and effective collaboration within an Agile delivery environment.

Key Responsibilities

• Design, develop, and maintain scalable data engineering solutions using Azure cloud services.
• Build and optimize batch and incremental data pipelines using Azure Databricks and Azure Data Factory.
• Implement data processing workflows with a focus on performance, reliability, and cost optimization.
• Apply data engineering best practices to support analytics and reporting needs.
• Support CI/CD implementation using Databricks Asset Bundles and Git-based deployment workflows.
• Ensure data pipeline stability through monitoring, troubleshooting, and continuous improvement.
• Colldaborate closely with cross-functional teams to deliver high-quality data solutions.
• Contribute effectively in an Agile and DevOps-oriented environment.

Required Skills & Experience

• 5–6 years of hands-on experience in Data Engineering.
• Strong programming proficiency in:

PySpark

• Mandatory experience with the Azure data ecosystem, including:

Core Azure services relevant to data engineering

• Solid experience in delivering performance optimization and cost efficiency in real-world projects.
• Working knowledge of Databricks Asset bundles and CI/CD pipelines.
• Strong Git skills, including resolving merge conflicts, rebasing, and dependency management.
• Good analytical, problem-solving, and communication skills.
• Familiarity with Agile methodologies and DevOps practices.

Nice to Have

• Knowledge of data modeling and data warehousing concepts.
• Experience with Power Automate.

Location & Work Requirements

• Must be based in Bangalore.
• Mandatory 3 days per week in office.

Pay: ₹1,300,000.00 - ₹1,500,000.00 per year

Work Location: Hybrid remote in Bengaluru, Karnataka 560061