Data Engineer I

**Responsibilities:**

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

**Collaboration:**

• Collaborate closely with data scientists, analysts, and software engineers to design data models that support high-quality analytics and real-time insights.
• Write clean, maintainable code with comprehensive unit and integration tests to ensure reliability and stability in Python.
• Thrive in an agile, collaborative environment and take ownership of end-to-end feature delivery.

**Requirements:**

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• 2+ years of hands-on experience in data engineering or backend software development roles.
• Solid understanding of Relational Databases (RDS, MySQL, PostgreSQL) and experience with Apache Kafka or RabbitMQ.