Bengaluru, India

Bengaluru, India

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’s Chief Data Office (CDO) is harnessing data and making AT&T’s 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’s 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.

Key Competencies
• 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 – 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.
Required/Preferred Skills
• 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)

Benefits

Invested in your satisfaction and continued success.

We take care of our own here (hint: that could be you). Our benefits and rewards mean we cover some of your biggest needs with some of the coolest offerings. We already think we’re a pretty great place to work. We’re just trying to rack up some bonus points.

• Live True

  Do the right thing, no compromise.

• Think Big

  Innovate and get there first.

• Pursue Excellence

  In everything, every time.

• Make a Difference

  Impact your world.

• Stand for Equality

  Speak with your actions.

• Be There

  When customers & colleagues need you most.