Data Engineer

Location NC, United States
Experience level Experienced Hire
Job details sector Information Technology
Apply before Date not available

Engage on projects to guide data acquisition, storage, reporting, and analytics. Creation of data products for all consumers – business users, analysts, and modelers. Explore and understand data sets; visualize the data set; determine whether the data set has enough information to answer the question that the business is asking. Work with IT support to create ETL / ELT interfaces to the data lake and create and visualize the data and data products on the data lake; implement required data transformation in the data lake; configure required security and data masking to a data set; support testing of data acquisition, data set correlation, and / or model development. Investigate and resolve interface issues; work with  IT to harden and productionize the model, model interfaces, and business procedures.


 Master's Degree in Statistical Analytics, Data Science, or Actuarial Science. A Bachelor's Degree will be considered with at least three - five years of applicable work experience. Experience with coding tools such as R and Python. Exploratory data analysis, determination of correlation and predictive capabilties of the data, development of analytic models, and work with IT on developing interfaces to the data lake. Deep sense of curiosity, self-directedness and strong problem solving skills. Has strong verbal and written communication skills. Relevant technical skills include applied mathematics, statistics, calculus, quantitative or statistical methods or techniques, data mining, informatics, machine learning, data science, programming, computational algorithms, databases, artificial intelligence, natural language processing, bayesian inference, Markov logic, java, software engineering and/or systems design analysis. IT experience coding and testing programs and utilities to transport and transform data a plus. Experience in working with metadata management tools a plus. Relevant work experience in the following technical areas are required: Hadoop (Cloudera, Horton Works), relational databases and SQL, ETL development, spark, data validation and testing (Data Warehousing, ETL/ELT to the Data Lake, Using the Data Lake for data analysis (Hadoop tools – Hive,  Impala, Pig, Sqoop, Hue, Kafka, etc., Open Source tools: Python, R, java). Knowledge of Cloud platform implementation (Azure or Amazon). Knowledge of data visualization tools is also a plus (AXA US uses Tableau on multiple platforms along with Python visualization in the Data Lake using Pandas and bokeh packages)



Would you like to wake up every day driven and inspired by our noble mission and to work together as one global team to empower people to live a better life? Here at AXA we strive to lead the transformation of our industry. We are looking for talented individuals who come from varied backgrounds, think differently and want to be part of this exciting transformation by challenging the status quo so we can push AXA - a leading global brand and one of the most innovative companies in our industry - onto even greater things.
 
In a fast-evolving world and with a presence in 64 countries, our 166,000 employees and exclusive distributors anticipate change to offer services and solutions tailored to the current and future needs of our 103 million customers.

We have been providing stability and reliability to our clients since 1859 to help them live their lives with confidence, to give them peace of mind, and enable them to realize their dreams for their loved ones and their legacy.
 
As an employer AXA is committed to creating an environment where everyone feels completely comfortable bringing their true selves to work every day. AXA US has been recognized and certified as a great place to work by the Great Place to Work Institute.
 
We provide our employees opportunities to move within our organization so they can grow their career and skills without ever having to leave AXA.  Almost 40% of our open jobs are filled with current employees.


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NOTE: AXA participates in the E-Verify program.
 
In addition to competitive compensation and an outstanding benefits package including 401 (k) and medical programs, we offer the opportunity for continued professional development in a congenial corporate environment.
 
AXA is committed to providing equal employment opportunities to our employees, applicants and candidates based on individual qualifications, without regard to race, color, religion, gender, gender identity and expression, age, national origin, mental or physical disabilities, sexual orientation, veteran status, genetic information or any other class protected by federal, state and local laws.

 

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