Cloud Engineer

Job Description

Design, development, and implementation of performant ETL pipelines using python API (pySpark) of Apache Spark on AWS EMR.

Writing reusable, testable, and efficient code

Integration of data storage solutions in spark – especially with AWS S3 object storage. Performance tuning of pySpark scripts.

Need to ensure overall build delivery quality is good and on-time delivery is done at all times.

Should be able to handle meetings with customers with ease.

Need to have excellent communication skills to interact with the customer.

Be a team player and willing to work in an onsite-offshore model, mentor other folks in the team (onsite as well as offshore)

*5+ years of experience in programming with python. Strong proficiency in python

*Familiarity with functional programming concepts

*3+ years of hands-on experience in developing ETL data pipelines using pySpark on AWS EMR

*Experience in building pipelines and data lake for large enterprises on AWS

*Good understanding of Spark’s Dataframe and API

*Experience in configuring EMR clusters on AWS

*Experience in dealing with AWS S3 object storage from Spark.

*Experience in troubleshooting spark jobs. Knowledge of monitoring spark jobs using Spark UI

*Performance tuning of Spark jobs.

*Understanding fundamental design principles behind business processes