Data Engineer-II

Responsibilities

• Design and build scalable, secure data pipelines for both batch and real-time processing.
• Support data systems that power machine learning, model inference, and analytics.
• Write clean, production-ready code in Java, Scala, or Python.
• Work with tools like Apache Spark, Kafka, Flink, Airflow, AWS EMR, and other AWS-native services.
• Use graph data modeling and graph databases such as Neo4j or Amazon Neptune.
• Optimize data architecture for performance, cost, and ease of maintenance.

Skills

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related technical field.
• 3-5 years of experience building and supporting complex data systems and applications in cloud environments.
• Strong proficiency in Java, Scala or Python.
• Deep knowledge of distributed data processing frameworks (e.g., Spark, Kafka, Flink).
• Hands-on experience with cloud services (AWS) and containerized environments (Docker, Kubernetes).
• Understanding of software design patterns, data structures, and DevOps/CI-CD best practices.
• Experience in working with Airflow or other data pipeline orchestration services.
• Familiarity with building ML data pipelines (e.g., with Databricks, SageMaker, or similar platforms).
• Experience in developing and utilizing scalable, high-performance APIs.
• Additional points for Experience with graph databases and graph algorithm.

Benefits

• 💼 Equal opportunity employer
• 💼 Values diversity

Company

Socure

Location

Worldwide