1xbet live footballData Engineering Specialist AIA

Loại hình

Full-time

Vị trí/chức vụ

Nhân Viên/Chuyên Viên

Yêu cầu bằng cấp(tối thiểu)

Đại Học

Yêu cầu kinh nghiệm

Trên 3 năm

Ngày đăng tuyển

01/04/2025

Ngành nghề

Việc Làm IT

Kỹ năng

Data Analytics

Địa điểm làm việc

- Saigon Center, 67 Lê Lợi, Phường Bến Nghé, Quận 1

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Mô tả công việc

Built and managed the company’s data lake and common data platform (CDP), ingesting data from various on-premise sources.
Used IBM DataStage for data extraction, ensuring PII masking and customer consent removal before exporting to Azure Data Factory (ADF).
Verified and copied data into the raw landing zone using Azure Data Factory, and performed transformations with Azure Databricks.
Managed data across bronze, silver, and gold layers in delta tables, and enabled CDC using Confluent Cloud (Kafka) for real-time data processing.
Set up CI/CD pipelines with Azure DevOps and monitored various ETL jobs (ADF, Databricks, Kafka, Power BI, etc.).
Built an internal data-sharing platform using SharePoint & Databricks Unity Catalog, ensuring fast and accurate data streams.
Managed storage size within the cost budget and provided data analysis for projects like fraud detection and sales behavior.
Created Power BI dashboards for analyzing sales behavior, persistency, and reports.
Built AI models in PySpark on Databricks for detecting customer lapse and fraud detection, preparing data for additional campaigns like Upsell/Cross-sell/Winback.
Ensured stable and accurate data for the Data Science team and supported team members in showcasing their abilities.

Bachelor's degree in Information Systems, Computer Science, or Information Technology.
Over 3 years of experience in real-time data ingestion, building advanced Power BI dashboards, and performing in-depth data analysis to support various business needs.
Proficient with and experienced in working with IBM DataStage database management systems.
Knowledge and experience with technologies: IBM DataStage, PySpark, Scala, Spark SQL, T-SQL, Azure Data Factory, Azure Databricks, Confluent Cloud, Azure Pipelines, Kubernetes, Flink, Power BI, Power Automate, PowerShell.
Honest, meticulous, goal-oriented, and passionate about Data Engineering.
Good understanding of English (reading and basic communication skills).
Strong presentation skills, confident, team player, dynamic, willing to excel, disciplined, and responsible.
Ability to research, work independently, and under high pressure.