Responsibilities: 

• Design and build the data warehouse and infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Design and implement process and logic to extract, transform and load (ETL) data from multiple data sources
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability
• Build analytics tools that utilize the data pipeline to provide actionable insights for operational efficiency and other key business performance metrics.
• Advise teammates in reports design, data visualization and dashboards that support reporting needs
• Participate in analytics projects and assist to design solutions for generating useful business insights
• Work with stakeholders to gather requirements, and propose feasible solutions
• Provide guidance on tools, technologies and approach to best meet business requirements
• Drive innovation initiatives and adoption of new emerging technologies
• Identify solutions through understanding strategic business issues and in-depth investigation (e.g. undertaking relevant data mining)
• Build strong relationships with stakeholders across multiple groups in the company
• Adhere to all company policies & procedures
• Protect confidential and sensitive information and material

Requirements:

• Advanced working SQL knowledge and experience working with relational databases
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Strong experience in working with and optimizing existing ETL processes and data integration and data preparation flows
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Strong project management and organizational skills.
• Confident, energetic self-driven with business vision and excellent communication and interpersonal skills.
• Experience with SDLC and Agile Methodologies.
• Experience with configuration management
• Experience with object-oriented/object function scripting language: Python, Java, C++, Scala, etc.

Benefits:

• Additional health coverage (medical and dental care)
• Upskilling and reskilling training programs
• Food vouchers
• Competitive remuneration package
• Performance-based bonuses
• Connect-A-Friend bonus program
• Recognition awards
• Special offers and discounts
• Sport cards
• Charity and sport initiatives