Sr. Big Data Engineer

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Job Title: Sr. Big Data Engineer

Duration: 13 months

months (W2 ONLY NO C2C)

Location:

SUMMIT NJ

To apply: Please email your resume in Word Format to Aaron Patrick at:

and Reference Job Order #: 201452 or Click the Apply Button.

Job Description:

Lead complex initiatives on selected domains. Ensure systems are monitored to increase operational efficiency and managed to mitigate risk. Define opportunities to maximize resource utilization and improve processes while reducing cost. Lead, design, develop, test and implement applications and system components, tools and utilities, models, simulation, and analytics to manage complex business functions using sophisticated technologies. Resolve coding, testing and escalated platform issues of a technically challenging nature. Lead team to ensure compliance and risk management requirements for supported area are met and work with other stakeholders to implement key risk initiatives. Mentor less experienced software engineers. Collaborate and influence all levels of professionals including managers. Lead team to achieve objectives. Partner with production support and platform engineering teams effectively.

Qualifications:

5+ years of software engineering experience
4+ years of Python experience
2+ years of RESTful API design and development experience
2+ years of experience with Big Data or Hadoop tools such as Spark, Hive, Kafka, and Map
2+ years of experience with building, deploying, and securing cloud platforms
2+ years of configuration experience with Cloud service providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP) or MS Azure
Strong in data science python libraries like NumPy, Pandas, SciPy.
Solid understanding of distributed computing.
Strong skills in big data, PySpark, HDFS and distributed computing.
Experience in creating APIs using python, preferably Django and DRF.
Design and build reusable solutions to in data work stream of model development life cycle.
Prior banking domain skills and depth knowledge in risk & finance forecasting domain

Desired Qualifications

A Master’s degree or higher in computer science or finance
A professional certification in technology
Basic knowledge of industry regulations related to building technological solutions
Knowledge and understanding of DevOps principles
Should have leadership skills to drive work stream from technical aspects
Should have command knowledge on story estimations, design reviews, code reviews, quality code delivery
1+ year of Oracle experience
2+ years of experience with H2O software or Keras with TensorFlow
2+ years of Kubernetes experience

New Jersey