Senior Data Engineer - SQL/Python (10-11 yrs)

Our journey began with everything around data: from global innovation and leadership in data storage, intelligence, security to building enterprise grade digital technology solutions to transform some of the largest Fortune 1000 global businesses.

Our leaders head multi-billion dollar global businesses and drive rapid transformative technology advancements across Communications, Banking, Education and Fast Growing Tech sectors.

Our commitment is unwavering-to drive business transformation through technology, experience, and a robust ecosystem of partners, eliminating barriers to progress.

Job Duties and Responsibilities

We are seeking a skilled Data Engineer to bolster our RAN National team. In this role, you'll directly work with the RAN organization, collaborating closely with various cross-functional teams across the market. As a key member of our team, you'll play a

crucial role in ensuring the development and automation of processes for the network monitoring, optimization and troubleshooting.

Key Responsibilities :

In this role, you will :

- Design and build ETL jobs using AWS services in a managed environment

- Develop Python-based tools and processes that solve operational and business problems

- Maintain, administer and optimize running MySQL database instances in AWS RDS

- Perform SQL-based exploratory analysis using MySQL/SQL Server/AWS Athena/Snowflake technologies

- Monitor and maintain the existing data processes

- Provide enhancements for existing automation workflows and applications

- Partner with IT, the Business Intelligence team, and non-technical functional stakeholders to define needs and continuously improve the data platform.

- Identify, prioritize and resolve support issues in a timely manner

- Present results to key stakeholders in the form of visualizations and written explanations

- Innovate using newly available technology to improve business outcomes

Experience and Requirements :

- Undergraduate Degree in Computer Science or a STEM related field

- Experience with relational and non-relational databases such as MySQL and Data Lake solutions

- Experience in data engineering or data application development

- Hands-on development experience using Python, including extensive use of the standard module library and advanced modules in data modeling, data warehousing, ETL development, and process automation

- Experience in SQL-based analysis and data architecture

- Experience with version control tools such as GitLab

- Experience with data visualization tools such as Tableau

- Familiarity in a Linux environment with knowledge of shell scripting

- Familiarity with cloud environments and server management

- Excellent verbal and written communication skills