The Role
Lead the full data solution lifecycle, oversee data flow, collaborate with teams on data needs, and manage resources for data platform delivery.
Summary Generated by Built In
- Lead the entire data solution lifecycle including requirement gathering, solution design, implementation, and releasing
- Oversee the end-to-end data flow, including data collection, transformation, enrichment and integration, to make sure they are usable, accurate, consistent across the reports and downstream applications
- Collaborate with cross-functional teams on the data needs, and conduct the roadmap to build the data engineering capabilities to proactively meet the business needs
- Work closely with the Data Analytics and QA teams, to data quality to provide high availability
- Manage the team resources and schedule to ensure the data platform is delivered with effectiveness, high quality, accurate, secure, on time, budget and cost control, as well as efficiently handle ad hoc analytics queries
Requirements
- Bachelor Degree holder, preferably from statistics, computer science or related disciplines
- 5-8 years related experience in data engineering and data platform
- Proficiency with SQL, and at least one object-oriented language (Python, Java, etc.)
- Track record of delivering large-scale, secure, and highly available data pipelines in a cloud environment, preferably AWS or GCP.
- Expert in data architecture, data models and ETL pipeline, with modern data technology, such as Snowflake, Databricks, dbt, and Kafka
- Domain experience in the digital marketing, e-commerce, CRM, MarTech or AdTech fields is highly desired
- Flexible and able to work in a dynamic environment and manage your own time and in a high-paced work environment and tight timeline
- Good command of both written and spoken English and Chinese
Skills Required
- Bachelor Degree in statistics, computer science or related disciplines
- 5-8 years related experience in data engineering and data platform
- Proficiency with SQL
- At least one object-oriented language (Python, Java, etc.)
- Delivering large-scale, secure, and highly available data pipelines in a cloud environment (AWS, GCP)
- Expert in data architecture, data models and ETL pipeline
- Experience with modern data technology, such as Snowflake, Databricks, dbt, and Kafka
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The Company
What We Do
Teki'Spire Limited is an executive search and recruitment firm specializing in Technology, Data & Digital roles, covering functions such as Digital, Big Data, Business Intelligence, Application Development, and Project Management.
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