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Tekion Corp in Bengaluru seeks a Lead Data Engineer to design, build, and optimize scalable data pipelines and architectures in a cloud-native environment. You will mentor engineers, drive data platform initiatives, and partner with product and analytics teams to deliver impactful data solutions.
You will lead ETL/ELT development, establish data quality standards, review code, and evaluate new technologies to improve performance and scale across Snowflake, BigQuery, and Redshift.
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.
The Lead Data Engineer provides technical leadership in the design, development, and optimization of scalable data pipelines and architecture. This role leads data engineering projects, mentors team members, and collaborates across functions to deliver high-impact data solutions that enable analytics, automation, and product innovation.
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.
For more information on our privacy practices, please refer to our Applicant Privacy Notice here.