Senior Software Engineer - Data Engineer

Tekion Corp; Bengaluru; On-site; INR 2,500,000 - 5,000,000; Full time

Benefits offered by this job

Competitive compensation

Stock options

Medical Insurance

Work with top minds

Job summary

Tekion seeks a senior Data Engineer to shape a cloud-scale data platform serving thousands of dealerships and business users. You will advance multi-tenant architectures, governance, and data quality while moving from batch to near real-time ingestion for AI-driven analytics.

Strong Python/SQL, Spark, and Airflow skills are essential, with hands-on practice in AWS EMR/S3/Glue/Athena and streaming tech (Kafka/Flink/Kinesis). Join a fast-growing team in Bengaluru.

Qualifications

• 6+ years of experience in Data Engineering.
• Strong Python, SQL, and Apache Spark expertise.
• Experience building scalable batch and real-time ETL/ELT pipelines.
• Hands-on with AWS EMR/S3/Glue/Athena and streaming tools (Kafka, Flink, Kinesis).
• Knowledge of Delta Lake, Iceberg, or Hudi and Airflow.

Responsibilities

• Design and build scalable data platforms, data warehouses, and lakehouse architectures.
• Lead data modeling, including Data Vault and dimensional modeling.
• Implement batch, streaming, and CDC-based ingestion pipelines.
• Optimize performance and ensure data quality and governance.

Skills

Python

SQL

Apache Spark

Airflow

Data modeling

Data warehousing

Tools

AWS EMR

Amazon S3

AWS Glue

Amazon Athena

Kafka

Flink

Kinesis

Delta Lake

Apache Iceberg

Apache Hudi

Job description

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.

Job Introduction

Join us in building the next generation of data intelligence capabilities for the automotive industry. This role goes beyond traditional data engineering and offers the opportunity to shape the enterprise data foundation that powers analytical products, operational insights, and emerging AI-driven experiences across the platform. You will play a key role in designing and evolving a multi-tenant, cloud-scale data platform that serves thousands of dealerships and business users while maintaining strong tenant isolation, governance, and data quality standards. As part of our modernization journey, you will help drive the evolution from batch-oriented data processing to near real-time and real-time data ingestion architectures, enabling faster decision-making and unlocking new AI and machine learning use cases across the business. If you are passionate about building large-scale data platforms, solving complex multi-tenant data challenges, and creating the data foundation that powers the future of analytics and AI, this role offers the opportunity to make a lasting impact.

Key Role and Responsibilities

• Strong experience in designing and building scalable data platforms, data warehouses, and lakehouse architectures.
• Deep expertise in data modeling, including dimensional modeling, Data Vault, and enterprise data architecture principles.
• Advanced SQL skills with experience in query optimization, performance tuning, and large-scale data processing.
• Hands-on experience with distributed data processing frameworks such as Apache Spark.
• Strong understanding of modern lakehouse technologies such as Delta Lake, Apache Iceberg, or Apache Hudi.
• Experience designing and implementing batch, streaming, and CDC-based data ingestion pipelines.
• Proficiency in Python and/or Scala for data engineering applications.
• Experience with workflow orchestration platforms such as Airflow or similar technologies.

Qualifications

• 6+ years of experience in Data Engineering.
• Strong expertise in Python, SQL, and Apache Spark.
• Experience building scalable batch and real-time ETL/ELT pipelines.
• Hands-on experience with AWS services including EMR, S3, Glue, and Athena.
• Experience with Kafka, Flink, or Kinesis for streaming data processing.
• Strong knowledge of dimensional modeling, Data Vault, and data warehousing concepts.
• Experience with Delta Lake, Apache Iceberg, or Apache Hudi.
• Expertise in workflow orchestration using Airflow.
• Experience implementing data quality frameworks and monitoring solutions.
• Strong understanding of partitioning, schema evolution, and performance optimization.
• Familiarity with CI/CD, Git, and Infrastructure as Code tools is a plus.

Perks and Benefits

• Competitive compensation.
• Generous stock options.
• Medical Insurance coverage.
• Work with some of the brightest minds from Silicon Valley’s most dominant and successful companies.

Note: Tekion recently transitioned to a new recruiting tool and we appreciate your patience and feedback as we adjust to our new system!

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.