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Sponsorship: Ericsson Inc. does not sponsor US work authorizations for this job position including H-1B, O-1, L-1, and TN. Ericsson also does not hire F-1's working on EAD for this position.
Data Engineer
Location: Plano, TX
About this opportunity:
We are seeking a Data Scientist/Engineer to work on leveraging data to derive insights and solutions that contribute to the Ericsson Cloud & Software Services' business objectives and customer needs. In this role you will work with an outstanding local and international team while interacting closely with our customers, influence and drive complex, innovative projects, overcome barriers and address sophisticated technical challenges in application development.
What you will do:
Define how we instrument, prioritize, and store data that powers AI/ML solutions.
Design and implement scalable data models, predictive models and machine learning algorithms.
Evolve and optimize our data and data pipeline architecture, including data flow & collection for multi-functional teams, and integrate them with the company-wide architecture.
Work closely with other team members to 'digitize' & 'automate' various reports (i.e. financial/progress tracking/planning etc.)
Gather requirements from team-members to design and implement various data dashboards, templates, KPI scorecards
Evaluate and improve existing reports/visualization
Create & maintain data repositories
The skills you bring:
Bachelor's degree in Business, IT, Engineering, Mathematics, Statistics, or a related discipline.
Experience in building data pipelines, data models, and data solutions from scratch.
Expertise in Data Engineering and relevant technologies (e.g., Spark, Python, Kubernetes, SQL, Java, C++, Scala)
Experience with batch and streaming data architectures such as Kafka, Kinesis, Flink, Storm, or Beam.
Expertise in various types of database structures (e.g., object storage, document stores, key-value stores, graph databases, column-family databases).
Skilled in MS Excel, Power BI or other data visualization tools, SAP, Power Query, Alteryx, Python, Robotic Process Automation, Power Apps, and/or Statistical Analysis tools like Minitab
Applied experience with frameworks such as Databricks, H2O, PyTorch, Keras, TensorFlow, etc.
Understanding of cloud-native architectures, e.g., AWS, Azure, or GCP
Salary Range:
• Bachelors: $79,325
Hiring Bonus:
• Bachelors: $8,500
Key benefits of this role include automatic 401K vesting, with up to a 7% company match | Up to 40 days of paid time off per year | Gym reimbursement program | Tuition reimbursement up to $8,000 per year | Ability to connect with Ericsson's Employee Resource Groups & more!
?Why join Ericsson?
At Ericsson, you´ll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what´s possible. To build solutions never seen before to some of the world's toughest problems. You´ll be challenged, but you won't be alone. You´ll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply?
Click Here to find all you need to know about what our typical hiring process looks like.
?Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we nurture it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity and Affirmative Action employer, learn more.
If you need assistance or to request an accommodation due to a disability, please contact Ericsson at ******
DISCLAIMER: The above statements are intended to describe the general nature and level of work being performed by employees in this position. They are not an exhaustive list of all responsibilities, duties and skills required for this position, and you may be required to perform additional job tasks as assigned.
Primary country and city:United States (US)||[[location_obj]]
Job details:Data Engineer
