Senior-Big Data Engineer

Key Skills

SQL, Azure, AWS, Data Modelling

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. This role is also accountable for developing the necessary enablers and data platform in the Big Data Lake Environment and has the responsibility of maintaining its integrity during the life cycle phases.

Key Roles and Responsibilities

This position will 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. This function needs to 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. Will 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. Develop and maintain data engineering best practices and contribute to Insights on data analytics and visualization concepts, methods and techniques.

Qualifications

• Bachelors of Science in Computer Science, Math or Scientific Computing preferred.
• A good understanding of cloud architecture and data engineering with at least requires 5-8 years experience as a design architect and/or data engineer. 
• Good foundational knowledge with relational dimensional modeling and a solid understanding of modeling with unstructured data on Hadoop or cloud platforms like AWS or Azure. 
• Strong analytical as well as communication skills both written and verbal is a must.
• Strong SQL and data modeling skills; Ability to model for both structured and unstructured data; Data analysis and strong communication are required.