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.

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.