Data Platform Engineer

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.

The core responsibilities for the job include the following:

Data Platform and Pipelines:

• Build and maintain ETL/ELT pipelines for structured and unstructured data.
• 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 and Data Engineering:

• Write clean, maintainable, production-grade code (preferably Python, Java, Go, or Ruby) to support: Data workflows, Internal data services, Integrations and automation
• Build internal tooling to improve data reliability and developer productivity.

Collaboration and Delivery:

• Partner with product, analytics, and engineering teams to define data needs and infrastructure requirements.
• Contribute to cross-functional system design discussions and architectural reviews.
• Ensure delivery of reliable infrastructure and data solutions that meet SLAs.

Quality and Best Practices:

• Implement monitoring, alerting, and logging for data pipelines.
• Write automated tests for data transformations and pipeline logic.
• Drive best practices for scalability, cost efficiency, and data governance.

Requirements:

• 4-6 years of experience in data platform or data engineering roles.
• 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:

• Experience with real-time streaming (Kafka, Kinesis, Pub/Sub).
• Exposure to data warehouses (Snowflake, BigQuery, Redshift).
• Experience operating data platforms in high-scale or fintech domains.
• Understanding of data security, privacy, and compliance.