Data Engineer

Job Summary
The Data Engineer will be responsible for the development, maintenance, and optimization of Con Cưng’s Data Warehouse (DW). This role will work closely with the Data Analyst (DA) to ensure that the Data Warehouse aligns with business requirements and supports analytical and reporting needs. The Data Engineer will also be responsible for managing ETL processes, integrating various data sources, and ensuring the scalability and efficiency of data infrastructure.
Key Responsibilities

Design, develop, and maintain the Data Warehouse infrastructure, ensuring it is optimized for performance, scalability, and reliability.
Monitor and troubleshoot data pipelines and resolve data issues in a timely manner.
Optimize data models for Power BI and other BI tools to enhance reporting and analytics capabilities.
Collaborate with business stakeholders to ensure data solutions meet business needs and technical standards.
Maintain documentation of data architecture, ETL processes, and data integration workflows.
Implement and maintain ETL (Extract, Transform, Load) processes to efficiently load data from various sources into the Data Warehouse.
Collaborate with the Data Analyst to update the Data Warehouse based on evolving business requirements.
Integrate new data sources and ensure data pipelines are robust and efficient.
Ensure data accuracy, consistency, and availability for all business reporting and analytical needs.

Skills and Qualifications

Proficiency in SQL and experience with data warehousing technologies such as Azure Databricks, Postgres, or similar platforms.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
Proven experience as a Data Engineer or in a similar role, preferably within the retail or e- commerce industry.
Experience designing, building, and maintaining ETL pipelines.
Strong understanding of data integration, data quality, and data governance practices.
Experience with cloud- based data solutions (e.g., AWS, Azure, GCP) is a plus.
Familiarity with BI tools such as Power BI and how to structure data models for reporting.
Excellent problem- solving skills and attention to detail.

Preferred Qualifications

Knowledge of Con Cưng&039;s business operations and metrics is a plus.
Familiarity with big data technologies (e.g., PySpark, Hadoop) and data lakes.
Experience with Python or other scripting languages to automate data processes.

Fast promotion opportunities based on personal ability
Work in a dynamic, open, creative environment
Regular training, company team building, birthday bonus
Annual bonus: 2- 3 months under minimum KPI requirement

Cập nhật gần nhất lúc: 2024-11-08 05:10:03