T-Mobile is looking for a Data Engineer to build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, Azure, and 'big data' technologies. The role aims to identify, design, and implement internal process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Requirements
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases (Required)
- Experience in languages such as SQL, Python, Perl, Java, Bash Shell Scripting, working in Linux environment (Required)
- Experience working on Cloud Technologies like Azure Data Factory, ADLS2, Event Hub, Kafka, Databricks, Snowflake (Required)
- Experience in streaming technologies like Kafka, Spark. Well versed with GIT, CICD Pipelines, Linux (Required)
- Microsoft Certified: Azure Developer Associate / similar (Required)
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets (Required)
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement (Required)
Responsibilities
- Create and maintain optimal ETL/ELT frameworks and data pipelines
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
- Create data tools for analytics and data science team members that assist them in building and optimizing our product’s performance and effectiveness
- Work with data and analytics experts to strive for greater functionality in our data systems
- Assemble large, complex data sets that meet functional/ non-functional business requirements
- Interact with internal business end users, gather requirements, and generate design documents
- Work with stakeholder teams and team management to assist with data-related technical issues and support their data infrastructure needs
Other
- Bachelor's Degree Computer Science, Statistics, Informatics, Information Systems or another quantitative field, or equivalent experience (Required)
- 2-4 years Data Engineering (Required)
- Network/Telecom Domain knowledge (Preferred)
- Ability to manage work across multiple projects, good organizational skills (Preferred)
- Self-Motivated, creative and a good team player. Enthusiastic, passionate, communicative and ability to document work done effectively (Preferred)
