$88,100 - $158,800
Please read the information in this job post thoroughly to understand exactly what is expected of potential candidates.
Corporate Bonus Target : 15%
Life insurance, vision insurance, flexible benefit account, paid time off, paid holidays, tuition assistance, 401(k)
Location : United States, Georgia, Atlanta
Date : Oct 04, 2024
At T-Mobile, we invest in YOU! Our Total Rewards Package ensures that employees get the same big love we give our customers.
All team members receive a competitive base salary and compensation package - this is Total Rewards. Employees enjoy multiple wealth-building opportunities through our annual stock grant, employee stock purchase plan, 401(k), and access to free, year-round money coaches.
That's how we're UNSTOPPABLE for our employees!
Are you ready to join the Un-carrier movement?
If so, our team is seeking a highly skilled Software Engineer to join our dynamic team. The ideal candidate will have a strong background in cloud technologies, data visualization tools, and analytics platforms.
You will be responsible for designing, developing, and maintaining robust data solutions that drive critical business decisions.
Your expertise in Tableau and Power BI will be critical in transforming complex data into actionable insights and compelling visual stories.
We are a team that encourages innovation and advocates an agile and open approach, truly working and playing in the Un-carrier way!
Job Responsibilities :
Technical Engineering Services
Supports engineering projects by developing software solutions; conducting tests and inspections; preparing reports and calculations.
Encouraged to mentor associate engineers on occasion.
• Develop dashboards and reports in Tableau and Power BI to provide meaningful insights and visualizations that support data-driven decision-making across the organization.
• Analyze complex data sets to identify trends, patterns, and opportunities for improvement.
• Design, develop, and maintain scalable data pipelines and ETL processes using cloud platforms such as AWS, Azure, or Google Cloud.
• Integrate various data sources and manage large-scale data environments to ensure data availability and reliability.
Technical Leadership
• Collaborate with technical teams and apply system expertise to deliver technical solutions.
• Continuously learn new technologies.
Technical Writing
• Write basic documentation on how technology works and supply clear documentation for new code and systems used.
• Document systems designs, presentations, and business requirements for consumption at the engineer level.
Technology Strategy
• Contribute to new technologies to deliver business goals.
• Partner with system engineers to define system requirements and / or vital requirements for automation.
• Work closely with multi-functional teams, including Data Science, Product Management, and Business Intelligence, to understand data needs and deliver effective solutions.
• Communicate insights and recommendations to stakeholders through presentations and detailed reports.
Innovation
• Present new insights which improve an existing system / process / service using new frameworks.
• Express fresh opinions based on independent study of the industry.
• Review current company processes to highlight questions to drive process refinement.
• Stay ahead of emerging technologies and industry best practices in data engineering and analytics.
• Proactively find opportunities to improve data processes and systems to enhance analytics capabilities.
Data Governance and Quality
• Implement data governance and quality standards to ensure data accuracy, consistency, and security.
• Monitor and optimize performance of data analytics platforms to maintain efficiency and reliability.
Work Experience :
• 2-4+ years technical engineering experience. (Required)
• Ability to write and review Java code.
• Strong proficiency in writing SQL queries and experience with data warehousing solutions.
• 2+ years of experience in data analysis, data engineering, or a similar role.
• Ability to design, develop, and implement ETL processes including familiarity with ETL tools and techniques.
• Experience with data visualization tools, specifically Tableau and Power BI.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with programming languages such as Python or R for data manipulation and analysis.
• Knowledge of data governance, data quality, and data security practices.
• Experience in an Agile environment.
• Experience in Continuous Integration / Continuous Delivery tools, and GitLab.
• Experience in Kubernetes.
Education :
Bachelor's Degree in Computer Science or Engineering (Required)
Preferred Qualifications :
• Certification in cloud technologies (AWS Certified Data Analytics, Microsoft Azure Data Engineer, etc.).
• Advanced skills in statistical analysis and machine learning.
• Experience with big data technologies such as H
Location: Atlanta, GA
Posted: Oct. 13, 2024, 3:32 a.m.
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