Data Engineer – Technology and Digital

Job Description

Job Purpose

Data Engineer plays a crucial role in developing and optimizing our data architecture to support data-driven initiatives and enhance overall business intelligence.

• Design, implement, and maintain scalable and robust data architecture to support business needs.
• Collaborate with stakeholders to understand data requirements and ensure alignment with organizational goals.
• Develop and implement efficient Extract, Transform, Load (ETL) processes to integrate data from various sources into a unified format.
• Ensure data integrity and quality throughout the ETL pipeline.
• Develop and Implement event streaming framework and services.
• Design and manage relational and non-relational databases, ensuring optimal performance and scalability.
• Implement database optimization strategies and conduct performance tuning.
• Utilize big data technologies such as Hadoop, Spark, and Kafka to process and analyze large volumes of data.
• Implement solutions for real-time data streaming and processing.
• Develop and maintain data models for efficient storage and retrieval of information.
• Collaborate with data scientists and analysts to understand data requirements for analytical purposes.
• Create and maintain metadata repositories, documenting data lineage, definitions, and relationships.
• Implement and enforce metadata management best practices.
• Implement data quality checks and validation processes to ensure accuracy and reliability of data.
• Collaborate with cross-functional teams to address and resolve data-related issues.

• Bachelors degree in computer science, Information Technology, or a related field.
• 8-9 years of proven experience as a Data Engineer or in a similar role.
• Strong proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, MongoDB).
• Experience with big data technologies (Hadoop, Spark) and data processing frameworks.
• Knowledge of ETL tools and techniques.
• Knowledge of DevOps practice.
• Knowledge of event streaming frameworks (Kafka, Event Hub, Apache Storm, Stream Analytics etc)