Principal-Big Data Engineer
Analyze data sets of millions of customers - and uncover groundbreaking solutions that have a global impact.
"You get to work on multi-million dollar projects from day one using the latest technology, and there are many training opportunities if you want to learn something new."Sang Han — Senior Data Scientist
Connect communities with the power of technology.
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
Job ID 2306243 Date posted 02/16/2023
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