Data Warehouse Developer
4 days ago
We think you also hate when travel app is giving you a headache, right? A slight misinformation can ruin the trip.
- That is exactly what we are tackling as t-fam Making sure that our 17+ million users have the best experience in crafting their own adventure.
LI-Hybrid
- Data warehouse developers are responsible for the successful delivery of business intelligence information to the entire organization. They design data models, and define both logical and physical models. They also develop and prepare schedules for a new data warehouse and not to overlook playing active roles in ensuring data governance policies are implemented and adhered to. As a data warehouse developer, sound analytical and communication skills are required.
**Your main duties in flying with us**:
- Design, propose, and implement a Data Warehouse solution with the support and assistance of Data Engineer for both real-time and batch data flows
- Align with BI Analyst, Engineer, Commercial, and Product team to analyze the data from various sources and design the structure as per business requirements
- Assist in several aspects of data warehouse, including ELT/ETL, data quality evaluation and management, data modeling, database architecture, warehousing principles, and other activities.
- Provide day-to-day support for data warehouse troubleshooting process, procedures, optimization, and data anomalies; not only to correct the data but also to identify the source of the corruption.
- Assists various departments to manage all activities related to EDW utilization
- Create and manage architecture documentation and project artifacts such as data models, data dictionaries, etc.
- Assist other data warehouse team members in the enforcement of appropriate maintenance and development of all data according to the established standards
- Monitor reliability and availability of all data and adopt tools when necessary
**Mandatory belongings that you must prepare**:
- Bachelor from notable university with computer science, statistics, mathematics, or engineering background.
- 2 years of relevant Business Intelligence/Analytics/Data Warehousing/Data Integration work experience.
- 2 years data modeling (logical/physical, relational and document/object)
- Strong understanding of Dimensional Modeling and other modeling techniques.
- Strong written and verbal communication skills.
- Strong problem-solving and analytical skills.
- Strong understanding of SDLC best practices with an emphasis on DW/BI/Analytics practices.
- Preferably knowledgeable in various Database: RDBMS (MySQL, PostgreSQL, or SQL Server), and NoSQL (MongoDB, DynamoDB, or Cassandra)
- Exposed/ Experienced with some / several cloud-based data warehouse systems such as Google Big Query, Ms. Azure, Teradata, Snowflake, etc.
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