2 months ago
Bengaluru, IndiaStaff+
Responsibilities
- Lead the design and development of advanced ETL/ELT pipelines and cloud-native data platforms.
- Gather stakeholder requirements and translate them into scalable, reliable data solutions.
- Establish standards for data quality, validation, monitoring, and pipeline resilience.
- Mentor data engineers, conduct code reviews, and share engineering best practices.
- Improve data architecture, tooling, and automation to support analytics and product features.
- Partner with product, analytics, and engineering teams to align data engineering work with business priorities.
- Evaluate and integrate technologies, frameworks, and processes to improve scalability and performance.
Requirements
- 8+ years of experience in data engineering, platform development, or distributed systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- Advanced proficiency in SQL, Python, and data orchestration tools such as Airflow and dbt.
- Proven experience leading technical teams or complex engineering projects.
- Strong experience with cloud data platforms such as Snowflake, BigQuery, and Redshift.
- Experience with DevOps practices and strong leadership, communication, and problem-solving skills.
Benefits
- Opportunity to work on complex challenges at scale with experienced colleagues.
- Impactful role shaping and securing a global, cloud-native, AI-driven platform.
- Innovative, collaborative, and fast-paced work culture.
Categories
Data Engineering
About Tekion
Tekion builds an AI-native, cloud platform for automotive retail that unifies dealers, OEMs, and partners. Its products include Automotive Retail Cloud (a dealership management system for retailers), Automotive Enterprise Cloud for manufacturers, and Automotive Partner Cloud for integrations, delivered as subscription software. Privately held and headquartered in Pleasanton, California, Tekion raised private equity funding in 2024.