Data Engineer

(*) JOB PURPOSE: The position is expected to implement Data Orchestration -Data Transformation and Data integration using MS Azure services to build Data Lake as part of Data Analytics. Data Extraction, Transformation, Loading are main responsibilities considering enterprise data management for data lakes and data warehouses. Result of work is the Data Lake supporting DHAN Vietnam, Cambodia, Indonesia, Myanmar and other BUs in Asia which uses data analytics report and dashboard.

(**) ACCOUNTABILITIES:

Develop, maintain, monitor and improve system

• Implement Azure Cloud data lake, data warehouses, Azure and No-SQL databases and hybrid data scenarios. The implementation depends on each BU application landscape and data availability
• Develop batch processing, streaming and integration solutions for data ingestion phase from sources of application to destination of data repository (data lake)
• Automate Azure Data Factory pipelines
• Manage source data access securely
• Configure data access authentication and authorization
• Manage and enforce data policies and procedure standard
• Monitor databases and data processing for a specified scenario
• Implement big data real-time processing and integration solutions

• Education: Bachelor / Engineer of IT or Data Science or equivalent degree
• Experience: Minimum 3 Years in Azure Data Engineering
• MS Azure Data Engineer (MS Certified) is preferred
• Minimum 3 to 5 years experience in successfully role of Data Engineer
• Very strong @ SQL-PL SQL-Spark SQL

• Interaction with No SQL Databases

• Interaction with Event Hub, IoT Hub Databases

• Files Processing XML, CSV, Excel, Jason, etc. formats

• Structured and Non-Structured Data processing

• Data ETL Capabilities

• Knowledge of Distributed Big Data Processing

• Data Warehouse and Data Lake Implementation experience in past

• Interaction with REST APIs, Web Services

• Proficiency in English

• Customer Focus

• Good verbal & written English communication

• Ability to work with globally diverse teams

• Readiness to work in flexible work timings

• Abstract& Analytical Thinking

• An interpersonal savvy. A very good team player

• Nimble learning. Willingness to explore and adapt