Summary: This is a pivotal role to enable the company’s data ecosystem, through designing, developing and maintaining the data pipeline, data warehouse and the seamless integrations to different technology platforms/ channels.
Responsibilities:
- Design and implement robust data ingestion flows across on-premise and cloud environments, ensuring high-quality, reliable data models for data analysis
- Engage with regional and cross-functional teams to define data requirements and develop solutions that suit business needs
- Define data governance and quality framework to ensure data accuracy and quality, and the compliant to regulatory requirements – such as GDPR, PDPO
- Evaluate, select and implement scalable data solutions
Requirements:
- Bachelor’s degree or above holder in Computer Science, Data Engineering, Information Systems, or a related discipline
- With 4+ years’ experience in data engineering
- Have track records building production data pipelines for analytics
- Strong proficiency in SQL and Python, with hands-on experience with NoSQL databases and ETL/ELT orchestration tools (Airflow, dbt, Alteryx or similar)
- Deep knowledge of cloud big data platforms such as Azure, AWS, Databricks or similar, and the data integration from hybrid platforms (Cloud & on-premises)
- Familiarity with CI/CD, version control and DevOps practices
- Strong project management and communication skills, with the ability to communicate complex ideas effectively
Get in touch!If you’d like to talk about the opportunity in detail, feel free to get in touch at +************* or +*************.