organization's needs and industry standards.
- Data Product Oversight: Manage the creation and maintenance of data products, ensuring they provide valuable insights and support decision-making processes. Collaborate with business units to understand requirements and translate them into effective data solutions.
- System Implementation & Enhancement: Drive the rollout, upgrade, and implementation of data systems. Apply best practices to streamline internal processes and improve data management efficiency.
- Analytics & Reporting: Lead efforts in developing analytics applications and visualization tools. Utilize data-oriented programming languages and software to transform raw data into actionable insights and dynamic reports.
Innovation: Explore and implement advanced data techniques, including data mining, machine learning, and natural language processing, to enhance data capabilities and derive meaningful insights from both structured and unstructured datasets.
- Team Development: Mentor and guide team members, fostering a collaborative and innovative environment. Support professional growth and ensure high performance within the team.
- Direct Engagement: Being deeply involved in technical implementations and responsible for building batch and real-time data warehouse
Qualifications
Minimum Qualifications:
- Proficient in creating and maintaining complex ETL pipeline end-to-end while maintaining high reliability and security
Preferred Qualifications:
- Minimum 5 years in data engineering experience
- 5 years experience with data warehouse concept and have production experience in modeling design
- 5 years experience with 1 distributed computing engine (e.g. Hive, Spark, Flink)