Data Engineer

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 / DesignationData Engineer Cloud & Data Platform Engineering
QualificationBachelors degree in Computer Science, Engineering, Information Systems, or related field.
Years of Experience5+ yearsPermanent / Contract (If contract, period ?)Permanent Full TimeOffice / Remote Address: Rajiv Gandhi SalaiTaramani, Chennai - Latent View officeNumber of post1GenderMale / Female Annual CTC / Salary25 L to 30 L.p.a Selection ProcessTotal 3 Technical round

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

• 7+ 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 Date0 to 15 days