Description
You will own the design, implementation, and scaling of mission-critical data systems and architecture.
Responsibilities
- Design and maintain data architecture and infrastructure to support platform processing and analytics.
- Build scalable data pipelines for ingesting, processing, and storing large volumes of structured and unstructured data.
- Optimize data processing workflows to improve performance, scalability, and reliability.
- Mentor engineers and take full ownership of technical projects from conception to delivery.
- Collaborate with cross-functional teams to define data requirements and ensure integrity across the system.
Required Skills
- 7 years of professional experience in data engineering.
- Expertise in building and managing pipelines using Apache Spark, Hadoop, or Kafka.
- Proficiency in SQL and database management systems such as PostgreSQL or MySQL.
- Deep understanding of data modeling, ETL/ELT processes, and data warehousing.
- Experience with cloud-based data platforms including AWS, Google Cloud, or Azure.
- Engineering degree from a premier institution (IIT, NIT, IIM, FMS, XLRI, or BITS).
- Strong English verbal and written communication skills.
- Ability to maintain significant overlap with US Central Time working hours.
Preferred Skills
- Prior experience in healthcare or fintech startup environments.