Senior Data Engineer
1 week ago
COMPANY DESCRIPTION
ALTO Network is a leading payment infrastructure provider as well as the pioneer in payment solution by always bringing the most innovative and impactful technology to connect merchants or financial institutions with their customers to grow their businesses nationwide and beyond.
DESIGNATION : Senior Data Engineer
RESPONSIBILITIES
- Develop pipeline from several data sources to Datalake and Datawarehouse to help BI team develop dashboards dan reports.
**Key Responsibilities**:
- Help Data Engineering & Reporting Unit Head as lead for special project in providing data pipeline
- Act as data engineer to help BI team in gathering data from all source within ALTO
- Act as data engineer to help Reporting in IT Engineering team.
- Actively communicating and providing data to help BI team creating dashboards and reports
- Actively communicating with Dev to get knowledge of data or new products.
- Actively looking for newly released products, what tables are needed, and communicating with the BI team
- Develop Pipeline to get data from several sources into Datalake and Datawarehouse in Bigquery
- Create document related to pipelinesRisk/Findings audit to be fulfilled
- Ensure staff are informed and trained to support good corporate governance in their specific areas of work.
QUALIFICATIONS
- Proven experience in Data Engineering or similar position at least 3 years' experience.
- Bachelor degree in Information Technology/Information System/Data Science/Computer Science/Mathematics/Statistic/Others
- Experienced with data pipeline orchestrator/tools and experienced coding from scratch to build pipeline
**Knowledge**
- Strong understanding of data architecture, data modeling, and ETL/ELT processes.
- Knowledge of data pipeline orchestration and workflow automation tools.
- Proficiency in relational databases
- Knowledge of cloud-based big data tools (e.g., Google BigQuery, AWS Redshift, Azure Data Lake).
- Advanced knowledge of Python and SQL
- Understanding of data quality, data security, compliance (GDPR, CCPA), and best practices.
**Non-Technical**
- Problem-Solving
- Communication
- Team Leadership
- Adaptability
- Detail-Oriented
**Technical**
- Programming, advanced in python and expert in writing SQL queries.
- Data Pipelines, experienced with ELT/ETL tools
- Expert in Cloud platform and Big Data Frameworks
- Proficiency in CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).
- High knowledge in version control (GIT), real time data processing and APIs.
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