Data Engineer MS Azure,SQL,NoSQL - 2 Headcounts

The position is expected to implement Data Orchestration - Data Transformation and Data integration using MS Azure services. Data Extraction, Transformation, Loading are main responsibilities considering enterprise data management for data lakes and data warehouses.

The expected results of this position are ensuring current systems can work smoothly and not impacting to performance. In addition, it is crucial to ensure data availability and accuracy for further data analytics project as well as Data architect from design to real life operation

JOB DESCRIPTION:

Develop, maintain, monitor and improve system

• Implement Azure Cloud data warehouses, Azure and No-SQL databases and hybrid data scenarios
• Develop batch processing, streaming and integration solutions
• Automate Azure Data Factory pipelines
• Manage source data access security
• Configure authentication and authorization
• Manage and enforce data policies and standards
• Monitor databases and data processing for a specified scenario
• Implement big data real-time processing and integration solutions

QUALIFICATIONS

· Education: Bachelor / Engineer of IT or Data Science or equivalent degree

· Experience: Minimum 2 Years in Azure Data Engineering

· MS Azure Data Engineer (MS Certified) is preferred.

· Minimum 2 to 5 years experience in successfully role of Data Engineer

COMPETENCIES

• 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

LANGUAGES:

• Proficiency in English.

OTHER REQUIREMENTS:

• 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

• Annual Health Check, Year End Party: once per year
• Company Trip, Team Building, Family Day: twice per year
• Health Insurance (Generali care 24/24 Insurance)
• Birthday Gift, Staff Gift
• Free parking batch