Want to get hired at Tekion?

Senior Data Engineer

Tekion

Chennai, Tamil Nadu, IndiaOn Site

Original Job Summary

About Tekion

Positively disrupting an industry that has not seen innovation in over 50 years, Tekion has challenged the paradigm with a revolutionary cloud-native automotive platform. The platform integrates the Automotive Retail Cloud (ARC), Automotive Enterprise Cloud (AEC), and Automotive Partner Cloud (APC) to connect OEMs, retailers, dealers, and consumers using big data, machine learning, and AI.

Key Responsibilities

  • Develop scalable, reliable, and highly available production level data platforms and pipelines.
  • Design high level and low level software solutions for new requirements.
  • Code independently and collaboratively following industry best practices.
  • Collaborate with data analysts, product managers, and QA teams for end-to-end delivery.

Qualifications

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

Mandatory Skills

Python, Spark

Equal Employment Opportunity

Tekion is an Equal Employment Opportunity employer and does not discriminate based on any legally protected characteristic.

Key skills/competency

  • Data Platforms
  • Data Pipelines
  • Software Design
  • Python
  • Apache Spark
  • Big Data
  • AWS
  • Data Warehousing
  • Collaboration
  • Quality Assurance

How to Get Hired at Tekion

🎯 Tips for Getting Hired

  • Customize your resume: Highlight big data, Spark, and AWS experience.
  • Research Tekion: Understand their innovative automotive cloud platform.
  • Prepare technical examples: Showcase Python coding and data pipeline projects.
  • Network proactively: Connect with current employees on LinkedIn.

📝 Interview Preparation Advice

Technical Preparation

Review advanced Python coding practices.
Practice Apache Spark data pipeline setups.
Study AWS cloud deployment techniques.
Understand data warehousing and relational DB concepts.

Behavioral Questions

Describe a complex team project.
Explain how you resolve conflicts.
Discuss your problem-solving approach.
Share experiences working under pressure.