IT Data EngineerFull-time

Job description

About the Role:

We are seeking a skilled Data Engineer to design, build, and maintain scalable data pipelines and architectures. The ideal candidate will transform raw data into structured, high-quality datasets to support analytics, reporting, and data-driven decision-making across the organization.

Key Responsibilities:

1. Data Pipeline & Architecture

• Design, develop, and maintain ETL (Extract, Transform, Load) pipelines to process structured and unstructured data.
• Build scalable and efficient data architectures to support analytics and reporting needs.
• Optimize data workflows for performance, reliability, and maintainability.

2. Data Integration & Management

• Integrate data from multiple sources, including databases, APIs, and cloud storage.
• Maintain data quality, integrity, and security across all data platforms.

3. Data Governance & Compliance

• Ensure compliance with data privacy regulations and internal governance policies.
• Document data pipelines, processes, and system architecture.
• Implement monitoring and ing for data pipelines and ETL processes.

4. Innovation & Process Improvement

• Evaluate and recommend new tools, technologies, and best practices for data engineering.
• Continuously improve data processing and storage strategies for efficiency and scalability.

Preferred Qualifications:

• Experience with real-time data streaming technologies (Kafka, Kinesis, etc.).
• Knowledge of BI and analytics tools (Tableau, Power BI, Looker, etc.).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Experience in building automated data quality and validation processes.
• Exposure to machine learning pipelines and data science workflows.

Role: Data Engineer

Industry Type: Education / Training

Department: Engineering - Software & QA

Employment Type: Full Time, Permanent

Role Category: Software Development