Senior Data Engineer

About Tekion:

Positively disrupting an industry that has not seen any innovation in over 50 years, Tekion has challenged the paradigm with the first and fastest cloud-native automotive platform that includes the revolutionary Automotive Retail Cloud (ARC) for retailers, Automotive Enterprise Cloud (AEC) for manufacturers and other large automotive enterprises and Automotive Partner Cloud (APC) for technology and industry partners. Tekion connects the entire spectrum of the automotive retail ecosystem through one seamless platform. The transformative platform uses cutting-edge technology, big data, machine learning, and AI to seamlessly bring together OEMs, retailers/dealers and consumers. With its highly configurable integration and greater customer engagement capabilities, Tekion is enabling the best automotive retail experiences ever. Tekion employs close to 3,000 people across North America, Asia and Europe.

Key Responsibilities:

• Be part of developing scalable, reliable and highly available production level data platforms, data pipelines to meet various business needs.
• Should be able to design (high level / low level) software solutions for the new requirements.
• Coding independently and with other team members with proper software industry standard best practices.
• Collaborate with data analysts/ product managers in understanding the data. - Work closely with Data Analysts and QA (Quality Assurance) teams and deliver the product end to end.

Qualifications:

• B.E/MTech in computer science
• 7+ years of relevant work experience.
• Experience in building scalable products with preferably big data.
• Excellent Python coding skills (Mandatory)
• Experience in Apache spark, Data Lake and other Big data technologies.
• Experience in either Data Warehouses or Relational Database is mandatory.
• Experience in AWS cloud

Mandatory Skills: Python , Spark

Tekion is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, victim of violence or having a family member who is a victim of violence, the intersectionality of two or more protected categories, or other applicable legally protected characteristics.

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