About the Role:

We re looking for a Data Engineer with 3 6 years of experience to design, build, and operate large-scale data platforms. You ll develop high-performance batch and streaming pipelines, optimize distributed data processing systems, and contribute to the infrastructure that powers our AI and analytics products.
Build and maintain scalable batch and streaming data pipelines using Apache Spark and distributed data technologies.
Design, develop, and optimize ETL workflows with a focus on reliability, performance, and data quality.
Develop effective SQL queries, data models, and storage solutions across systems such as Bigquery, PostgreSQL, Elasticsearch, DuckDB, and cloud native data platforms.
Build and maintain workflow orchestration using Airflow (or similar schedulers).
Monitor, troubleshoot, and optimize production data pipelines to ensure reliability and performance.
Collaborate with product and engineering teams to design and deliver resilient, production-grade data systems.
Leverage AI-assisted development tools to improve development speed, code quality, and engineering productivity.

You ll thrive here if you :
Take ownership and enjoy solving challenging engineering problems.




Build reliable, scalable, and maintainable software with a strong focus on quality.
Continuously learn current technologies and improve your engineering skills.
Communicate effectively and collaborate well across engineering and product teams.
Enjoy working in a fast-paced setting where your work has a direct impact on customers and the business.

Good to have
Experience with Kafka, Pub/Sub, or other streaming technologies.
Experience with Kubernetes, Docker, or infrastructure-as-code tools.
Exposure to data warehousing technologies such as BigQuery, Snowflake, or Redshift.
Understanding of CI/CD, observability, and production monitoring for data platforms.

Advantages :
Early impact Help shape the tech stack and build products from the ground up.
Agile culture Small teams, zero bureaucracy.
Outstanding benefits Group Health Insurance, daily breakfast, Friday team lunch, Fun O Clock Fridays, and unlimited coffee, tea snacks.

Required Skills

Apache Spark, AWS, ETL, sql, python, java, Google Cloud Platform (GCP), Linux, airflow

📌 Data Engineer Karnataka
🏢 Lifesight
📍 Karnataka