Digital Marketing Engineer at Huawei Technologies Co. Ltd.

Responsibilities

• To empower and support customers (specifically, mobile network operators) to define, test, prioritize, execute and report on multi-channel, rule or event-based campaigns via our in-house campaign management system.
• Perform subscriber profiling based on certain attributes ,consumer behavior and business rules as defined by customer
• Read, extract, transform, stage and load data using selected tools and frameworks as required and requested.
• Perform end to end maintenance of all components and services of the campaign management system
• Perform tasks such as writing scripts, calling APIs, creating and modifying data flows, write SQL queries, etc.
• Work closely with the other team members for 3rd party integration of data sources
• Monitoring and reporting on campaign performance and tracking leads for call to action.
• Provide input into documentation and updating of Standard operating procedures and process documents.
• Provide input into definition data retention policies.

Qualification, Skills and Experience

• Bachelor's Degree or more in Computer Science or a related field.
• 5 - 7 years of recent experience in the support of campaign management systems.
• Very proficient in the use of SQL/PL-SQL.
• 5 – 7 years of recent experience in Business intelligence, data analytics and familiarity with the Hadoop platform including the HDFS file system is added advantage.
• Programming experience, ideally in Python, Spark, Kafka or Java, and a willingness to learn new programming languages to meet goals and objectives.
• Experience in C, Perl, JavaScript or other programming languages is added advabtage.
• Knowledge of data cleaning, wrangling, visualization and reporting, with an understanding of the best, most efficient use of associated tools and applications to complete these tasks.
• Familiarity with Hive, Spark and MapReduce is added advantage.
• Experience processing large amounts of data, including integrating data from multiple sources.
• A willingness to explore new alternatives or options to solve data mining issues, and utilize a combination of industry best practices, data innovations and your experience to get the job done.
• Experience in production support and troubleshooting.