Data Engineer - SQL/Python

5 years of experience as a Data Engineer, with a strong proficiency in PySpark, Python, SQL, Databricks, and AWS.

- Hands-on experience designing and implementing data pipelines for large-scale data processing and analytics.

- Strong understanding of data modeling, data warehousing concepts, and database technologies.

- Proficiency in working with cloud platforms, particularly AWS, and familiarity with related services such as S3, Glue, Redshift, Athena, EMR, etc.

- Experience with version control systems (e.g., Git) and CI/CD pipelines for automated testing and deployment.

- Solid understanding of software engineering principles and best practices, including agile methodologies and coding standards.

- Excellent problem-solving skills, with the ability to troubleshoot complex data issues and optimize performance.

- Strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

- Proven ability to manage multiple priorities and deliver high-quality results in a fast-paced environment.

(ref:hirist.tech)