Data Engineer (Data Warehouse), Business Intelligence

Key Skills

3D data processing, Business Intelligence, Data Analytics, Data Engineering, Data management, Data Warehousing, Effective communication skills, Employee life cycle, Environmental, HDFS, Lambda, Python Programming, Scala Programming, SDLC, SPARK Programming, SQL, Unix Operating system

Job Description

The Business Intelligence and Data Analytics team plays a critical role in conducting close-loop data-driven business iterations. As business intelligence specialists and data analysts, our scope of work is not limited to just performance monitoring and reporting, but also in proactively finding actionable insights to help drive high-impact business changes. Our end-to-end data solution reduces the gap between the business teams and technical teams, and achieves real ‘intelligence’ in the iteration cycle. Browse our Business Intelligence and Data Analytics team openings to see how you can make an impact with us.

• Work closely with Data PM, Business Intelligence Analyst & other Engineers to turn data into information that can be used to make sound business decisions
• Design and develop data marts and data warehouses that support business intelligence and data analytics initiatives.
• Develop and implement best practices for data management, including data quality, data security, and data privacy.
• Handle end to end data pipelines from multiple sources internally and externally and ensure its performance & scalability as Single Source of Truth
• Adhere to software development best practices, including test-driven development.

Requirements:

• Master's or bachelor degree in Computer Science/ Information Systems or any related fields
• 5+ years of relevant experience working in Data
• Expert in SQL, Spark, HDFS, and other data processing tools
• Expert in Object Oriented & Functional Programming (preferably Python / Scala)
• Experience in UNIX environment
• Proficient in data modeling concepts (preferably Kimball’s versions), batch processing and lambda architecture
• Proficient in Software Development Life Cycle (SDLC) including code version control, test driven development and technical documentation
• Excellent communication & collaboration skills
• Analytical & data driven and have high curiosity with data
• Ability to work in a fast-paced, dynamic environment