Data Engineer - PySpark/Python

Job Description :- 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)