Data Engineer

Data Engineer Location:

Bengaluru (Hybrid)

We are seeking a skilled

Data Engineer

to design, build and maintain scalable data infrastructure that supports research, machine learning and advanced analytics initiatives. This role plays a critical part in enabling reliable, high-performance data systems for data-driven decision-making. The ideal candidate will have a strong foundation in data engineering, experience working with large datasets and the ability to collaborate effectively with multidisciplinary technical teams.

Key Responsibilities Design, build and manage scalable ETL pipelines for structured and unstructured data Develop and optimize data storage, retrieval and processing systems Automate data ingestion from APIs, external data providers, and internal systems Ensure data quality through validation, monitoring and version control mechanisms Collaborate with machine learning engineers and researchers to deliver clean, well-documented and queryable datasets Optimize performance and reliability of data infrastructure for analytics and experimentation Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering or a related field 3+ years of experience building and maintaining production data pipelines Proficiency in Python and SQL Experience with data processing frameworks such as Airflow, Spark, or Flink Familiarity with cloud storage and data lake technologies (e.g., S3, Delta, Iceberg) Experience with financial or time-series data is an advantage Strong understanding of data modeling, schema design, and performance optimization Excellent communication and collaboration skills What You Will Gain Ownership of core data infrastructure in a mission-critical environment Opportunity to work closely with research and machine learning teams Exposure to distributed systems and time-series analytics A strong learning environment focused on technical excellence and growth