Job Description

:AT&T is one of the leading service providers in the telecommunication sector and propelling it into the data and AI driven era is powered by CDO (Chief Data Office). CDO is empowering AT&T, through execution, self-service, and as a data and AI center of excellence, to unlock transformative insights and actions that drive value for the company and its customers.Employees at CDO imagine, innovate, and unlock data & AI driven insights and actions that create value for our customers and the enterprise. Part of the work, we govern data collection and use, mitigate for potential bias in machine learning models, and encourage an enterprise culture of responsible AI.AT&Ts Chief Data Office (CDO) is harnessing data and making AT&Ts data assets and ground-breaking AI functionality accessible to employees across the firm. In addition, our talented employees are a significant component that contributes to AT&Ts place as the U.S. company with the sixth most AI-related patents. CDO also maintains academic and tech partnerships to cultivate the next generation of experts in statistics and machine learning, statistical computing, data visualization, text mining, time series modelling, data stream and database management, data quality and anomaly detection, data privacy, and more.Roles and responsibilities:Full life-cycle experience on enterprise software development projects.Experience in relational databases/ data marts/data warehouses and complex SQL programming.Extensive experience in ETL, shell and python scripting, data modelling, analysis, and preparationExperience in Unix/Linux system, files systems, shell scriptingHands on experience on any cloud platforms like AWS, Azure, Snowflake, etc.Good to have experience in BI Reporting tools - Power BI or TableauGood problem-solving and analytical skills used to resolve technical problems.Must possess a good understanding of business requirements and IT strategies.Ability to work independently but must be a team player. Should be able to drive business decisions and take ownership of their work.Experience in presentation design, development, delivery, and good communication skills to present analytical results and recommendations for action-oriented data driven decisions and associated operational and financial impacts.Expertise working in MongoDb, Snowflake, Databricks and cloud computing platforms (AWS, GCP or Azure), or equivalent on-premise platform and deploymentGood to have worked on ML models and Gen AI projectsDecent knowledge of Devops activitiesWeekly Hours: 40Time Type: RegularLocation: Bangalore, Karnataka, IndiaIt is the policy of AT&T to provide equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, AT&T will provide reasonable accommodations for qualified individuals with disabilities.

AT&T