Data Engineer- Databricks - Chennai

Teamplus Staffing Solution; Chennai District; On-site; INR 2,500,000 - 3,000,000; Full time

Job summary

Teamplus Staffing Solution is seeking a Data Engineer for Cloud & Data Platform Engineering in Chennai, India. The role focuses on building scalable data pipelines using modern cloud technologies and data platforms such as Databricks and Apache Spark.

You will work on evolving data ingestion, transformation, and integration frameworks, ensuring data quality, observability, and robust operational controls within an enterprise-grade environment.

Qualifications

• Bachelors degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience in Data Engineering, Software Engineering, or related technical roles.
• Experience with modern data platforms and cloud technologies.

Responsibilities

• Design, develop, and maintain scalable data pipelines using modern cloud technologies.
• Build and optimize data ingestion, transformation, and integration frameworks.
• Develop reusable components, utilities, and accelerators that reduce development effort and improve delivery speed.
• Implement robust data quality, monitoring, auditability, and operational controls.
• Design solutions that support both batch and event-driven processing patterns.

Skills

SQL

Python

Azure

Databricks

Apache Spark

CI/CD

DevOps

ETL/ELT

Data Engineering

Education

Bachelor's degree in CS/Engineering/IS

Job description

Hi,

We are having opening for Data Engineer Cloud & Data Platform Engineering.

Job Summary

Highly motivated and technically strong Data Engineer who thrives in fast-paced environments and enjoys solving complex business problems through innovative and scalable data solutions and Experience with modern data platforms such as:

• Databricks
• Apache Spark

The ideal candidate is not just a developer, but an engineer who can quickly learn emerging technologies, adapt to changing business needs, and deliver nimble, reusable, and production-ready solutions. This role requires a strong foundation in modern data engineering, cloud platforms, automation, and software engineering best practices.

Working Days: Mon - Fri

Job Timing: Dayshift

Position / Designation

Data Engineer Cloud & Data Platform Engineering

Qualification

Bachelors degree in Computer Science, Engineering, Information Systems, or related field.

Years of Experience

5+ years

Permanent / Contract (If contract, period ?)

Permanent Full Time

Office / Remote

Address: Rajiv Gandhi SalaiTaramani, Chennai - Latent View

officeNumber of post 1

Gender Male / Female

Annual CTC / Salary 25 L to 30 L.p.a

Selection Process Total 3 Technical round

2 rounds evaluation with LV (we can plan to take this together based on panel availability) & 1 with client

Job Role & ResponsibilityData Engineering & Platform Development

• Design, develop, and maintain scalable data pipelines using modern cloud technologies.
• Build and optimize data ingestion, transformation, and integration frameworks.
• Develop reusable components, utilities, and accelerators that reduce development effort and improve delivery speed.
• Implement robust data quality, monitoring, auditability, and operational controls.
• Design solutions that support both batch and event-driven processing patterns.

Cloud & Modernization Initiatives

• Participate in cloud migration and modernization efforts.
• Leverage cloud-native services to improve scalability, reliability, security, and cost efficiency.
• Evaluate emerging technologies and recommend innovative solutions aligned with enterprise architecture standards.

Engineering Excellence

• Apply software engineering principles to data engineering solutions.
• Drive automation across deployment, testing, monitoring, and operational support processes.
• Continuously improve platform performance, reliability, and maintainability.
• Troubleshoot complex production issues and provide timely resolutions

Skills

• 6+ years of experience in Data Engineering, Software Engineering, or related technical roles.
• Strong experience with SQL, Python and large-scale data processing.
• Hands-on experience with cloud platforms, preferably:
• Microsoft Azure
• Experience with modern data platforms such as:
• Databricks
• Apache Spark
• Strong programming skills in Python.
• Experience designing scalable ETL/ELT pipelines.
• Familiarity with CI/CD [Asset Bundle preferred], DevOps, and Infrastructure-as-Code principles.
• Experience working with relational and distributed data platforms.

Preferred Qualifications

• Experience with:
• Event-driven architectures
• Streaming platforms
• API integrations
• Data warehousing and lakehouse architectures
• Knowledge of:
• Data governance
• Metadata management
• Data quality frameworks
• Observability and monitoring solutions
• Experience building reusable frameworks and shared engineering utilities.

Exposure to AI/ML enablement platforms and modern analytics ecosystems

Joining Date

0 to 15 days