Expert Data Engineer- JazzCash

Grade Level: Contractual (6 Months)

Location: Islamabad

Last Date to Apply: 2 October 2024

What is Expert Data Engineer?

Expert Data Engineer is a senior role where the ideal candidate will have a strong background in writing complex SQL queries on various databases, including Teradata, DB2, Oracle, MySQL, and MongoDB. Also, having expertise in building Data Pipelines / ETLs using Linux, Talend, Python or any relevant tools. Additionally, the candidate should have experience working with Hadoop and Hive, as well as knowledge of data science concepts and able to implement the Data Engineering modernized practices in Fintech industry. The candidate should also possess project management skills, stakeholder management skills, and be a team player.

The role reports directly to the Stream Head Analytics & Insights.

What does Expert Data Engineer do?

• Design, develop, and maintain ETL pipelines using Linux, Talend, Python pt any relevant tool
• Write complex SQL queries on Teradata, DB2, Oracle, MySQL, and MongoDB
• Work with Hadoop and Hive to process and analyze large datasets
• Apply data science concepts to solve business problems and improve data quality
• Should be able to lead a team of Technical resources to develop a solution as per Business requirements within the timeframe.
• Collaborate with cross-functional teams to understand data requirements and deliver data solutions
• Ensure data integrity, security, and compliance with industry regulations
• Stay up-to-date with industry trends and emerging technologies in data engineering and fintech
• Manage projects from conception to delivery, ensuring timely and within-budget completion
• Communicate effectively with stakeholders, including project sponsors, team members, and customers
• Foster a collaborative team environment, providing guidance and support to junior team members

Jazz is an equal opportunity employer. We celebrate, support, and thrive on diversity and are committed to creating an inclusive environment for all employees.