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.
Responsibilities
Data Platform & 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 & 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 & 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 & 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.
Qualifications
- 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).
Required Skills
- 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.
