Senior Consultant

Key Responsibilities: Refine data collection/consumption by migrating data collection to more efficient channels. Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs. Develop test plan and scripts for system testing, support user acceptance testing. Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution. Ensure the smooth operations and service level of IT solutions. Support production issues - Track record in implementing systems with high availability, high performance, high security. Requirements: Good understanding and completion of projects using waterfall/Agile methodology. Good understanding of analytics and data warehouse implementations. Ability to troubleshoot complex issues ranging from system resource to application stack traces. Strong SQL, data modelling and data analysis skills are a must. Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica. Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred. Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred. Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required. Passion for automation, standardization, and best practices Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders. Roles & Responsibilities Key Responsibilities: Refine data collection/consumption by migrating data collection to more efficient channels. Plan, design and implement data engineering jobs and reporting solutions to meet the analytical needs. Develop test plan and scripts for system testing, support user acceptance testing. Work with the Authority’s technical teams to ensure smooth deployment and adoption of new solution. Ensure the smooth operations and service level of IT solutions. Support production issues - Track record in implementing systems with high availability, high performance, high security. Requirements: Good understanding and completion of projects using waterfall/Agile methodology. Good understanding of analytics and data warehouse implementations. Ability to troubleshoot complex issues ranging from system resource to application stack traces. Strong SQL, data modelling and data analysis skills are a must. Hands-on experience in big data engineering jobs using Python, PySpark, Linux, and ETL tools like Informatica. Track record in implementing systems using Hive, Impala and Cloudera Data Platform will be preferred. Hands-on experience in DevOps deployment and data virtualization tools like Denodo will be preferred. Understanding/ Hands on experience of reporting or visualization tool like SAP BO and Tableau will be beneficial but not required. Passion for automation, standardization, and best practices Good written and verbal communication and interpersonal skills, ability to understand the business requirement, communicate confidently with stakeholders.