Being the Data Engineer, the right candidate will

• Design, build, support and optimize new and existing data models and ETL processes
• Develop and support the data pipeline to integrate new data from various data sources with emerging data technologies
• Define and manage SLA for all data processes and own data quality issues
• Getting “first-hand” break to engineer data analytics platform which will include architectural design, infrastructure setup, and building data pipelines, integrate with data lakes and integrating data mining models into data pipelines
• Understand, brain-storm and integrate data from different internal as well as external platforms (including mobile event streams) to deliver data insights

Requirements:

• Bachelor's degree in computer science and information technology
• Hands-on experience in:

• at least one scripting language (Python is preferred)
  • RMDB, NoSQL and query performance tuning
  • building data model for visualizations
  • integrating big data technologies such as Hive, Presto, Spark, Kafka, Hbase and Apache Ignite into traditional systems
  • big data management platform implementation such as Informatica and Talend will be a plus

• Data architecture, data modelling, schema and ETL/ ELT workflow design skills
• Excellent communication skills and proven experience in leading data driven projects from definition through interpretation and execution