Data Engineer II

Architect and implement scalable, secure, and reliable data pipelines using modern data platforms (e.g., Spark, Databricks, Airflow, Snowflake, etc.).

Develop ETL/ELT processes to ingest data from various structured and unstructured sources.

Perform Exploratory Data Analysis (EDA) to uncover trends, validate data integrity, and derive insights that inform data product development and business decisions.

Collaborate closely with data scientists, analysts, and software engineers to design data models that support high-quality analytics and real-time insights.

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL).

Experience with Apache Kafka or RabbitMQ for building asynchronous, decoupled systems.

Proficiency with Python, SQL, and at least one data pipeline orchestration tool (e.g., Apache Airflow, Luigi, Prefect).