Professional-Big Data Engineer

Key Skills

SQL, Azure, Big Data Technology, Apache Hadoop, Vertica, Snowflake, Teradata, Databricks, Large scale deployment

Job Description

Join AT&T and reimagine the communications and technologies that connect the world. We’re committed to those who seek to discover the undiscoverable and dare to disrupt the norm. Bring your bold ideas and fearless risk-taking to redefine connectivity and transform how the world shares stories and experiences that matter. When you step into a career with AT&T, you won’t just imagine the future – you’ll create it.

The Big Data Engineer will be responsible for interpreting the requirements of various Big Data Analytic Use Cases and Scenarios, and driving the design and implementation of specific data models to ultimately help drive better business decisions through insights from a combination of external and AT&Ts data assets.

Key Roles and Responsibilities

• Define data requirements, gather and mine large scale of structured and unstructured data, and validate data by running various data tools in the Big Data Environment.
• Support the standardization, customization and ad-hoc data analysis, and will develop the mechanisms to ingest, analyze, validate, normalize and clean data.
• Implements statistical data quality procedures on new data sources, and by applying rigorous iterative data analytics, supports Data Scientists in data sourcing and preparation to visualize data and synthesize insights of commercial value.
• Work with Big Data Policy and Security teams and Legal to create data policy and develop interfaces and retention models which requires synthesizing or anonymizing data.
• A part of a project team, in a typical day there will be detailed analysis of data processing tasks, including data profiling and validations.
• Development tasks in multiple cloud environments like Snowflake and/or Databricks.
• Conduct volume analysis in order to apply proper mechanisms for performance development and coding.
• Engage in multiple meetings and interactions with Operations, data quality, data profiling and other teams within the Chief Data Office organization

Qualifications

• Bachelors of Science in Computer Science, Math or Scientific Computing preferred.
• Typically requires 3-5 years experience. 
• Experience with data transformations in a large Datawarehouse / Big data environments.
• Development and analysis skills on Snowflake, Databricks and Azure based technologies.
• Experience in Teradata, vertica and Hadoop technologies.
• Desired development skills : Knowledge of Snowflake, Databricks and Azure based technologies

This position can be filled at one of the following locations: Alpharetta, Atlanta GA; Bothell; Plano, Dallas, San Antonio TX; Middletown NJ; St Louis MO; Chicago IL