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 1. Data Platform & Pipelines a. Build and maintain ETL/ELT pipelines for structured and unstructured data. b. Design, develop, and optimize batch and streaming pipelines using tools such as Kafka, Spark, or Flink. c. Ensure data integrity, availability, and performance across data systems. d. Design and optimize data models for analytics and product use cases. 2. Backend & Data Engineering a. Write clean, maintainable, production-grade code (preferably Python, Java, Go, or Ruby) to support: Data workfl ows Internal data services Integrations and automation b. Build internal tooling to improve data reliability and developer productivity. 3. Collaboration & Delivery a. Partner with product, analytics, and engineering teams to defi ne data needs and infrastructure requirements. b. Contribute to cross-functional system design discussions and architectural reviews. c. Ensure delivery of reliable infrastructure and data solutions that meet SLAs. 4. Quality & Best Practices a. Implement monitoring, alerting, and logging for data pipelines. b. Write automated tests for data transformations and pipeline logic. c. Drive best practices for scalability, cost effi ciency, and data governance. What You Will Need: 1 4-6 years of experience in data platform or data engineering roles. Strong profi ciency in SQL and experience with relational and NoSQL databases. Hands-on experience with Airfl ow, DBT, Spark, or Flink. Experience with streaming or batch data processing systems. Profi ciency 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 (Snowfl ake, BigQuery, Redshift). Experience operating data platforms in high-scale or fi ntech domains. Understanding of data security, privacy, and compliance. Salt is acting as an Employment Agency in relation to this vacancy.

Desired Candidate Profile

What You Will Need: 1 4-6 years of experience in data platform or data engineering roles. Strong profi ciency in SQL and experience with relational and NoSQL databases. Hands-on experience with Airfl ow, DBT, Spark, or Flink. Experience with streaming or batch data processing systems. Profi ciency 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 (Snowfl ake, BigQuery, Redshift). Experience operating data platforms in high-scale or fi ntech domains. Understanding of data security, privacy, and compliance.