Ericsson is one of the leading providers of Information and Communication Technology (ICT) to service providers. We enable the full value of connectivity by creating game-changing technology and services that are easy to use, adopt, and scale, making our customers successful in a fully connected world. Headquartered in Stockholm, Sweden, Ericsson is proud of its global presence across 100+ countries and market areas. With a strong focus on innovation, we possess 49 thousand registered patents and a global strength of over 95 thousand competent professionals. We also take pride in supporting networks that cater to a capacity of 40 percent of the world’s mobile traffic, thereby connecting more than 2.5 billion subscribers and counting. We are a world leader in the rapidly changing environment of communications technology – by providing hardware, software, and services to enable the full value of connectivity.
Ericsson is looking for savvy Data Architects to join our growing team of MI experts. As a team member, you will be evolving and optimizing our data and data pipeline architecture, as well as, optimizing data flow and collection for cross functional teams. You are an expert data pipeline builder and data wrangler who enjoys optimizing data systems and evolving them. The Data Architect will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data and models devOps (dataOps) architecture is consistent throughout ongoing projects. You are self-directed and comfortable supporting the dataOps needs of multiple teams, systems and products. You will also be responsible for integrating them with the architecture used across the company. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s dataOps architecture to support our existing and next generation of MI-driven products and solutions initiatives.
Your Roles and Responsibilities:
Create and maintain optimal data and model dataOps pipeline architecture
Identify Use cases for different existing MS accounts.
Prepare technical presentation , design documents for customer presentations on AI/ML capabilities.
Prepare design , solution documents for ELK solution.
Assemble large, complex data sets that meet functional / non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Keep data separated and secure across national boundaries through multiple data centers and strategic customers/partners.
Create tool-chains for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
Work with data and machine learning experts to strive for greater functionality in our data and model life cycle management systems.
What we would like to see:
BE, MS or PhD degree in Computer Science, Informatics, Information Systems with experience more than 10 years.
At least 3 years’ experience using the following software/tools:
Strong knowledge of ELK Stack
Knowledge of Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
You have implemented ELK solution for at least one customer.
You have experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
You have strong knowledge on different Linux flavors (RHEL , Oracle Linux , CentOS) , AIX and Solaris servers.
Knowledge on networks are added advantages.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and seek opportunities for improvement.
You have strong analytic skills related to working with unstructured datasets.
You have built processes supporting data transformation, data structures, metadata, dependency and workload management.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Strong project management and interpersonal skills.
Experience supporting and working with cross-functional teams in a dynamic environment
Ericsson provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, sexual orientation, marital status, pregnancy, parental status, national origin, ethnic background, age, disability, political opinion, social status, veteran status, union membership or genetics.
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