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Data Engineer-Remote#22-01852

Jersey CityOnsite

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Job Description

Data Engineer

Location

Jersey City, NJ or Remote

Duration

6 months CTH

Position Summary

The Data Engineer will work with the business to understanding data requirements and will become a data platform expert in designing and building data solutions focused on Cloud-based Big Data ecosystems. You will work closely with other data science teams and take ownership of your projects and deliver high-quality data-driven advanced analytics applications. You will solve diverse business problems by utilizing a variety of different tools, strategies, algorithms and programming languages.

What about you?

• You are highly collaborative, creative, and intellectually curious individual who is passionate about data engineering and supporting cutting-edge computing capabilities.
• You are able work well, both individually and within a team.
• You are adaptable and able to overcome technical challenges.
• You are a self-starter and motivated to learn and succeed.
• You are data driven and are able to identify and solution problems as they arise.

Responsibilities

• Collaborate and work with global data management stakeholders to identify requirements for complex business problems that may be loosely defined.
• Work with the business, applications owners, solutions architects, and with technical architects to understand proposed solution architectures
• Build, deploy and monitor Batch and near real time data pipelines to load structured and unstructured data into data lake platforms.
• Identify, evaluate and implement leading edge data management frameworks required to address complex large-scale data challenges.
• Work within multi-functional agile teams with end-to-end responsibility for product development and delivery.
• Provide architectural support by building proof of concepts & prototypes.

Desired Qualifications

• Experienced in programming languages such as python, SQL and spark
• Experience or exposure Jupyter Notebook, etc.
• Experience building Data engineering pipelines in corporate data lake environment handling large structured and unstructured datasets
• Good understanding of linux os, security and scripting
• Energetic, able to build and sustain long-term relationships across a multitude of stakeholders in a fast paced, multi-national work environment.
• Strong time management and organizational skills
• Possess strong verbal and written communication skills and ability to present, persuade and influence peers.
• Bachelor's degree in _Information systems______ or related field with GPA of 3.0+ required
• Excellent data analysis skills
• Experience in performing analysis and design for data management and data driven projects.
• Familiarity with data science and analytic tool sets

Bonus Skills

• Exposure or experience with Cloud Platforms, Azure, Databricks, SQLDW and COSMOSDB
• Experience in designing and leading the conceptual, logical and physical design for distributed databases.
• Experience with operating system command languages such as bash or ksh
• Experience with development tools such as git and integrated development environments
• Understanding of the SAFe Agile development methodology