Deskripsi Pekerjaan
Are you a seasoned Data Engineer with a passion for marketing analytics and business intelligence? We are looking for a highly skilled Senior Data Engineer to join our team in Kuala Lumpur. In this client-facing role, you will be the bridge between complex data infrastructure and actionable marketing insights.
You will be responsible for architecting robust data pipelines, managing large-scale data warehouses, and ensuring that our BI initiatives drive real business value. The ideal candidate possesses a deep technical background in cloud-based data environments and the soft skills necessary to translate technical requirements into strategic marketing solutions.
Join us in shaping the future of data-driven marketing. We offer a collaborative environment where you can lead high-impact projects, mentor junior engineers, and work with cutting-edge technologies to solve real-world problems.
Tanggung Jawab
- Design, build, and maintain scalable data pipelines to ingest, transform, and load data from various marketing sources.
- Collaborate with stakeholders to translate business requirements into technical data models and BI dashboards.
- Ensure data quality, integrity, and security across all data platforms.
- Optimize database performance and query efficiency for large-scale datasets.
- Lead technical initiatives and mentor junior team members to foster a culture of engineering excellence.
- Implement automation for data processes to reduce manual intervention and improve reliability.
- Provide expert technical consulting to clients regarding data integration and analytics strategies.
Kualifikasi
- Bachelor’s degree in Computer Science, Data Engineering, or a related field.
- 5+ years of experience in data engineering, with a focus on Marketing and BI analytics.
- Proficiency in SQL and at least one programming language like Python or Scala.
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) and data warehousing solutions (BigQuery, Snowflake, or Redshift).
- Strong knowledge of ETL/ELT methodologies and orchestration tools (e.g., Airflow, dbt).
- Experience with BI tools such as Tableau, Power BI, or Looker.
- Excellent communication skills with the ability to present technical concepts to non-technical stakeholders.
- Strong problem-solving abilities and a proactive mindset toward optimizing data architecture.