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T-Mobile is America’s supercharged Un-carrier, delivering an advanced 4G LTE and transformative nationwide 5G network that will offer reliable connectivity for all. Engineers, Software Full Stack located in Bethesda, MD will work with a team of other software engineers to implement and deploy complete, cloud native systems which meet customer's requirements.
Job Responsibility
Build the Enterprise Data Warehouse and ETL pipelines to be used by various analytics teams
Understand various business functions and how this is reflected in data
Present analytics and data to other teams, advocating for high quality of data pipelines and data handling
Modify databases, perform tests, and solve database usage issues and malfunctions, turning raw structured and unstructured data into dimensional models that are usable by the business
Collaborate closely with developers to improve applications, interactions, and visual design, and establish best practices
Monitor the performance of APIs and optimize the response time by utilizing database techniques for faster retrieval of data
Automate steps of the data pipeline by performing manipulation and transformation while ensuring the integrity and quality of data in relational/NoSQL databases
Own the design, development, and maintenance of ongoing metrics, reports, analyses, and interactive dashboards, using business intelligence software to analyze trends, identify KPIs, and communicate key concepts to executives to drive business decisions
Integrate third-party software to the existing tech stack using APIs or SDKs to automate different processes for operational efficiency
Research and understand technology implications, perform industry benchmarking and computer analysis, and articulate solutions to adopt best engineering practices in the Data world
Document data models, data use cases, and steps of the pipeline to scale data knowledge across the organization
Requirements
Master’s degree in Information Technology and Management, Computer Science Engineering, or related field, and over 1 years of relevant work experience
Bachelor’s degree in Information Technology and Management, Computer Science Engineering, or related field, and over 3 years of relevant work experience
Python scripting for data transformation and integration according to business workflows, including developing and maintaining scripts to ingest, cleanse and reconcile data from thirdparty ad servers, CRM systems and backend databases, and leveraging AWS Transfer Family for secure file exchange across organizations
Scheduling and managing ETL workflows using shell scripts and Docker-based Apache Airflow ensuring reliable execution, monitoring performance metrics, diagnosing dependency issues and optimizing job runtimes
Utilizing AWS S3 for staging, Snowflake for data warehousing and PostgreSQL for operational storage conducting query performance optimization, enforcing data-governance standards and troubleshooting data-integrity issues across structured and semi-structured sources
Designing, developing and maintaining Tableau dashboards to visualize ad impressions, business KPIs and other key metrics delivering stakeholder-ready reports on Tableau server
Utilizing SQL to write, optimize and refactor complex queries in Snowflake and PostgreSQL enhancing report generation, tuning performance and performing root-cause analysis of query bottlenecks
Leveraging AWS Secrets Manager to securely store and manage sensitive credentials and API keys and utilizing various AWS services to enhance data processing and integration workflows