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Data Engineer


This is a Full-time position in Richardson, TX posted July 5, 2021.

14 month Contract to potential hire

We are seeking an Data Engineer to become an integral part of our team, ensuring both the reliability and applicability of the teams data products to the entire organization.

Job Summary
Enjoy solving business problems through coding; uncovering actionable insights from massive master data sets; highly energetic and have the ability to articulate findings through stories or visualizations that stick.

Must have clear business acumen and exceptional business analysis!

They will be working directly w/ teams in CE business to deliver actionable insights.

2Superb communication & interpersonal skills; able to articulate findings through stories in relation to the business.

Looking for someone to contribute to growth/increase revenue in TV arena.

They will act as a liaison between functional teams and technical teams so superb communication/interpersonal skills are very important!

Technical expertise in object oriented programming (OOP) languages
– mainly Python!

Also need expertise in SQL!

Please make sure they have a Masters or PhD along w/ industry experience.

Looking for someone that Data Science background and can ALSO wear a hat as a Software engineer.

Must have excellent knowledge/experience in Data Science & ML concepts.

Scripting language: preferred is Linux Hive & Spark experience is a huge bonus

Qualifications: (MUST-HAVE SKILLS):
You are a strong analytical person who loves solving business problems using massive data sets.

You interface with leadership and team members to get clarity on your requirements, end goals and deliverables.

You are detail oriented but never loses sight of deadlines.

You always have an eye on the products you deployed and never assumes that everything is ok.

You are comfortable following the procedures and coding standards set by the organization You have MS or PhD in Mathematics, Computer Science, Engineering, or Economics (required).

You have 2-4 years of experience in sales or marketing functions for consumer products, retail, tech, telecom, or financial industries.

You have 2-4 years of experience in Big Data environment specifically Hive/Spark where you have deployed reliable models that scale smoothly on high-volume (1TB+) & high-dimensionality (500+ variables per schema) data.

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