Python developer with Spark AWS

Job Title: Python Spark AWS

Location: Columbus OH nonlocal candidates accepted

Duration: 12 Months COntract or Direct Fulltime

Job Responsibilities:

Develop and maintain data platforms using Python Spark and PySpark.
Handle migration to PySpark on AWS.
Design and implement data pipelines.
Work with AWS and Big Data.
Produce unit tests for Spark transformations and helper methods.
Create Scala/Spark jobs for data transformation and aggregation.
Write Scaladocstyle documentation for code.
Optimize Spark queries for performance.
Integrate with SQL databases (e.g. Microsoft Oracle Postgres MySQL).
Understand distributed systems concepts (CAP theorem partitioning replication consistency and consensus).

Skills:
Proficiency in Python Scala (with a focus on functional programming) and Spark.
Familiarity with Spark APIs including RDD DataFrame MLlib GraphX and Streaming.
Experience working with HDFS S3 Cassandra and/or DynamoDB.
Deep understanding of distributed systems.
Experience with building or maintaining cloudnative applications.
Familiarity with serverless approaches using AWS Lambda is a plus

With Regards

Teja Maripeti
Desk:
Email: t
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