Data Engineer

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

Job summary

Latent View is seeking a Data Engineer for Cloud & Data Platform Engineering to design, build, and maintain scalable data pipelines using modern cloud technologies. The role emphasizes reusable components, automation, and robust data quality.

Ideal candidates will have 5+ years in data engineering, strong Python and SQL skills, and hands-on experience with Databricks, Spark, and Azure in enterprise environments. Office-based in Chennai area with day shifts.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.
• 5+ years of experience in Data Engineering / related roles.
• Hands-on experience with cloud platforms and modern data platforms.
• Strong SQL and Python skills.

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

Databricks

Apache Spark

SQL

Python

Azure

Data pipelines

CI/CD

DevOps

Infrastructure as Code

Cloud platforms

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Apache Spark

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 / DesignationData Engineer Cloud & Data Platform Engineering

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

Years of Experience5+ years

Permanent / Contract (If contract, period ?)Permanent Full Time

Office / Remote Address: Rajiv Gandhi SalaiTaramani, Chennai - Latent View officeNumber of post1

GenderMale / 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 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

• 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 Date

0 to 15 days