Description:

1. Responsible for understanding needs of the customers, conducting demand analysis, writing requirements specifications, and formulating effective data calculation and data utilization solutions for customer needs.

2. Responsible for assessing project workload and staffing arrangements, and controlling human resource allocation.

3. Actively communicate and manage with project stakeholders, develop project delivery plans, track project progress, and identify and avoid project risks.

4. Responsible for organizing project delivery, deployment, testing, acceptance and other related work.

Qualifications:

1. Bachelor degree in computer science or mathematics.

2. CET-4 or above.

3. More than three years of project management experience.

4. Familiar with software project process management, practical application experience and deep understanding of project management and process construction.

5. Excellent organizational communication and coordination ability and task execution ability, driving force and cross-team collaboration ability, push the team to the goal.

6. Strong sense of responsibility and professionalism, strong anti-stress ability.

Description:

1. Assist in data warehouse core structure design.Responsible for the design of task modules related to the warehouse.

2. Work with business analysts to complete data business requirements sorting and analysis.

3. Responsible for combing and researching data source data.

4. Responsible for ETL tasks and data warehouse development of various business data, deployment and management ETL tasks and data warehouse.

5. Continuously improve and optimize ETL, analysis and processing, data representation and other processes, coordinate massive data pressure problems, and optimize the performance of ETL operations.

Qualifications:

1. Bachelor degree or above in computer and related majors, more than three years working experience.

2. Deep understanding and practical experience in data processing, data modeling, data analysis, etc.

3. Participate in mainstream big data products and data analysis technologies, and have relevant implementation experience for the complete project cycle.

4. Familiar with data warehouse related technologies and Internet data warehouse construction experience.

5. Familiar with one or more main ETL tools such as Kettle, Informatica, Datastage, SSIS, etc.

6. Familiar with one or more main big data products, such as spark, Flink, EMR, Hadoop, etc.

7. Familiar with many main database products, such as Oracle, SQL Server, Maxcompute, Hana, GP, etc.

8. Strong anti-stress ability.