Data Platform Engineer

About the Role :
We are seeking a skilled Data Platform Engineer to build and scale reliable data infrastructure and pipelines.

You will enable analytics, product, and business teams by ensuring high-quality, performant, and accessible data across the organization.

What You Will Do :

Data Platform & Pipelines :

- Design, develop, and optimize batch and streaming pipelines using tools such as Kafka, Spark, or Flink.

- Ensure data integrity, availability, and performance across data systems.

- Design and optimize data models for analytics and product use cases.

Backend & Data Engineering :

1. Write clean, maintainable, production-grade code (preferably Python, Java, Go, or Ruby) to support :

ii. Internal data services

iii. Integrations and automation

2. Build internal tooling to improve data reliability and developer productivity.

Collaboration & Delivery :

- Contribute to cross-functional system design discussions and architectural reviews.

- Ensure delivery of reliable infrastructure and data solutions that meet SLAs.

Quality & Best Practices :

- Write automated tests for data transformations and pipeline logic.

- Drive best practices for scalability, cost efficiency, and data governance.

What You Will Need :

- Strong proficiency in SQL and experience with relational and NoSQL databases.

- Hands-on experience with Airflow, DBT, Spark, or Flink.

- Experience with streaming or batch data processing systems.

- Proficiency in at least one programming language (Python, Go, or Java).

- Familiarity with cloud platforms (AWS, GCP, or Azure).

Nice to Have :

- Exposure to data warehouses (Snowflake, BigQuery, Redshift).

- Experience operating data platforms in high-scale or fintech domains.

- Understanding of data security, privacy, and compliance