Snapmint is looking for a skilled Data Engineer with 3–5 years of experience to design, build, and manage real-time data pipelines using technologies like Kafka, Flink, and Spark Streaming. The role involves optimizing scalable, fault-tolerant pipelines, performing real-time transformations, and collaborating with data scientists for feature development. The ideal candidate will have strong programming skills in Python, Java, or Scala, along with solid SQL expertise and a good understanding of data modeling, data warehousing, and OLTP vs. OLAP systems. Experience with CDC tools, data lakes/lakehouse architectures (Databricks), open table formats (Delta Lake, Iceberg, Hudi), and orchestration tools like Airflow is essential.
