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&T\xe2\x80\x99s Chief Data Office (CDO) is harnessing data and making AT&T\xe2\x80\x99s 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&T\xe2\x80\x99s 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.

Key Roles and Responsibilities

• Develop, understand, and enhance code in traditional data warehouse environments, data lake, and cloud environments like Snowflake, Azure, Databricks
• Build new end-to-end business intelligence solutions- data extraction, ETL processes applied on data to derive useful business insights, and best representing this data through dashboards.
• Write complex SQL queries used to transform data using Python/Unix shell scripting
• Understand business requirements and create visual reports and dashboards using Power BI or Tableau.
• Upskill to different technologies, understand existing products and programs in place
• Work with other development and operations teams.
• Flexible with shifts and occasional weekend support.

• 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 or python scripting, data modelling, analysis, and preparation
• Experience in Unix/Linux system, files systems, shell scripting.
• Good to have knowledge on any cloud platforms like AWS, Azure, Snowflake, etc.
• Good to have experience in BI Reporting tools \xe2\x80\x93 Power BI or Tableau
• Good 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.

• RDBMS and Data Warehousing (Required)
• SQL Programming and ETL (Required)
• Unix/Linux shell scripting (Required)
• Power BI / Tableau (Preferred)
• Python, Scala, Java (Preferred)
• Cloud Platforms - Azure, Snowflake, Databricks, Deltalake (Preferred)

AT&T