Data Engineer

• Participate in all aspects of developing a data warehouse system. Design, develop, test, deploy and support scalable and flexible data warehouse system that can integrate with multiple LOBs. 
• Liaison with Product, Business, Design and Engineering stakeholders to define and review technical specifications. 
• Design and implement scripts, ETL jobs, data models, etc. 
• Provide horizontal, organisational-wide visibility through metric measurements and insights regionally across different functions and teams. 
• Develop and uphold best practices with respect to change management, documentation and data protocols. 
• Identify system and application metrics, develop dashboards and set up alerts for metrics and thresholds. 
• Participate in technical and product discussions, code reviews, and on-call support activities. 

The Must-Haves: 

• Bachelor degree in Analytics, Data Science, Mathematics, Computer Science, Information Systems, Computer Engineering, or a related technical field. 
• • At least 3-4 years of experience developing Data warehouse and Business Intelligence solutions. 
• Sound knowledge of data warehousing concepts, data modelling/architecture and SQL. 
• Ability to work in a fast-paced agile development environment. 
• Knowledge of programming languages such as Java, Scala, Python, etc. 
• Understanding of performance, scalability and reliability concepts. 
• Experience with relational as well as NoSQL data stores.
• Experience with Big Data frameworks such as Hadoop, Spark, etc. 
• Experience with Stream processing technologies such as Kafka, Spark streams, etc. 
• Experience with performance tuning & query optimization of data warehouse systems.
• Experience with Cloud technologies such as Azure, AWS, etc. would be nice to have 
• Ability to drive initiatives and work independently 
• Team player who can liaison with various stakeholders across the organisation 
• Excellent written and verbal communication skills