Data Engineer

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Qualifications

• Python : Proven expertise in leveraging Python for data manipulation, scripting, and the development of robust data-driven applications.
• PySpark : In-depth experience in building and optimizing scalable data processing workflows using PySpark for distributed data transformation.
• SQL : Strong command of SQL with the ability to craft complex queries, perform performance tuning, and design efficient relational databases.
• AWS : Practical experience in architecting, deploying, and maintaining data solutions on AWS platforms such as S3 , EMR , Glue , Lambda , and more.
• Data Engineering : Comprehensive understanding of data warehousing architectures, ETL / ELT strategies, and best practices in designing resilient data pipelines.
• Professional Skills : Demonstrated strength in analytical thinking, problem-solving, and clear communication. Capable of working independently as well as in a collaborative team setting.

Preferred skills

Job details

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