Data Engineer

**Responsibilities for Data Engineer**
- Create and maintain optimal data pipeline architecture,
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide **variety of data sources using SQL and On-prem/ Cloud technologies.**:

- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics

**Qualifications for Data Engineer**
- Bachelor Degree with 1 year experience as Data Engineer
- Advanced working **SQL knowledge** and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- **ETL tools knowledge is required.**:

- Experience building and optimizing big data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable big data data stores.

Pay: Up to Rp10,000,000 per month

**Experience**:

- data streaming: 1 year (preferred)