REQUIREMENTS:

· Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.

· 3-6 years of experience as a data engineer or in a similar backend data role.

· Experience building and maintaining API integrations and event-driven data pipelines.

· Proficiency in SQL and data pipeline scripting (e.g., Python, PySpark).

· Experience with cloud platforms such as AWS, Azure, or Google Cloud (e.g., S3, Redshift, Snowflake, or Databricks).

· Familiarity with event streaming platforms such as Apache Kafka, Kinesis, or similar.

· Strong attention to detail with a commitment to data accuracy and quality assurance.

· Ability to thrive in a fast-paced, collaborative environment.

PREFERRED QUALIFICATIONS:

· Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., Terraform, GitHub Actions).

· Familiarity with lakehouse architecture principles and tools like Delta Lake or Apache Iceberg.

· Experience building robust logging, error handling, and monitoring for data pipelines.

· Understanding of data governance, privacy, and compliance principles.

· Strong documentation and communication skills, with the ability to explain technical solutions to non-technical people