Sr. Software Engineer

6 - 9 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Job Description

Job Summary

JD AWS PySpark Data Engineer Experience: 6 9 years as a Data Engineer with a strong focus on PySpark and large scale data processing. PySpark Expertise: Decent to proficient in writing optimized PySpark code, including working with DataFrames, Spark SQL, and performing complex transformations. AWS Cloud Proficiency: Fair experience with core AWS services, such as S3, Glue, EMR, Lambda, and Redshift, with the ability to manage and optimize data workflows on AWS. Performance Optimization: Proven ability to optimize PySpark jobs for performance, including experience with partitioning, caching, and handling skewed data. Problem Solving Skills: Strong analytical and problem solving skills, with a focus on troubleshooting data issues and optimizing performance in distributed environments. Communication and Collaboration: Excellent communication skills to work effectively with cross functional teams and clearly document technical processes. Added advantage AWS Glue ETL: Hands on experience with AWS Glue ETL jobs, including creating and managing workflows, handling job bookmarks, and implementing transformations. Database ¿ Good working knowledge of Data warehouse like Redshift.

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