Alpharetta, Georgia

Alpharetta, Georgia

Job Overview

DUTIES: Create, design, and build core frameworks for cloud-based system platforms and end to end solutions. Build cloud platform and performance components. Enable data sharing across business units in support of BI and analytics related use cases. Collaborate with critical stakeholders to understand business needs, priority, and the quality of services to be created or enhanced. Drive solution to be compliant with target state architecture. Discover and identify bottleneck gaps including manual flows that can hinder services and impact cycle time. Resolve bottleneck gaps early during the solution, design, and construction phase. Drive research and standardization of platform components. Ensure integration of nonfunctional requirements such as security, scalability, resiliency, and performance in all solutions. Define and design functional, technical, performance, and reliability solutions in line with client inferred requirements. Create integrated solutions between legacy and target state solutions. Create vendor guidelines and best practices. Apply advanced knowledge of Linux and Unix. Utilize AWS. Display knowledge of Azure infrastructure including implementing, monitoring, and maintaining Azure compute, storage, network, and security services. Analyze large sets of data using Cloudera HDF NiFi, ADF, Ambari, Nifi, Kafka, Ranger, Kubernetes, and Docker. Manage data using Databricks and Hadoop. Apply knowledge of data domains of Telecomm including location, browsing, billing, and network.

REQUIREMENTS: Requires a Master’s degree, or foreign equivalent degree in Computer Science, Computer Engineering, or Electrical Engineering and Computers and two (2) years of experience in the job offered or two (2) years of experience in a related occupation building cloud platform and performance components; resolving bottleneck gaps early during the solution, design, and construction phase; creating vendor guidelines and best practices; applying advanced knowledge of Linux and Unix; utilizing AWS; displaying knowledge of Azure infrastructure including implementing, monitoring, and maintaining Azure compute, storage, network, and security services; analyzing large sets of data using Cloudera HDF NiFi, ADF, Ambari, Nifi, Kafka, Ranger, Kubernetes, and Docker; managing data using Databricks and Hadoop; and applying knowledge of data domains of Telecomm including location, browsing, billing, and network.

Our Principal Big Data Engineers earn between $127,100 - $211,900 yearly. Not to mention all the other amazing rewards that working at AT&T offers. From health insurance to tuition reimbursement and paid time off to discounts on products and services just to name a few. There is a lot to be excited about around here. Individual starting salary within this range may depend on geography, experience, expertise, and education/training.

AT&T is an Affirmative Action/Equal Opportunity Employer, and we are committed to hiring a diverse and talented workforce. EOE/AA/M/F/D/V

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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.