AWS + Pyspark

Role & responsibilities

AWS + Pyspark job post

Hiring: AWS PySpark Developer

Location: Indore,Pune, Hyderabad

Experience: 6-10 Years

Employment Type: Full-Time

Preferred candidate profile

Key Skills

AWS

PySpark

Apache Spark

AWS Glue

EMR

S3

Redshift

Athena

Python

SQL

ETL Development

Data Lake

Responsibilities

Design and develop scalable data pipelines using PySpark on AWS.

Build and optimize ETL/ELT workflows.

Work with large datasets in distributed environments.

Integrate and transform data from multiple sources.

Ensure data quality, performance, and reliability.

Collaborate with cross-functional teams to deliver data solutions.

Requirements

Strong hands-on experience with PySpark and AWS services.

Proficiency in Python and SQL.

Experience with AWS Glue, EMR, S3, and Redshift.

Good understanding of Data Lakes and Big Data technologies.

Strong problem-solving and analytical skills.

Interested candidates can share their updated resume.

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