Walk-in Drive | PySpark Data Engineer | Bangalore | 8th August

Are you passionate about Big Data, PySpark, and AWS technologies?
Join us for an exciting Walk-in Drive and be a part of a dynamic Data Engineering team working on cutting-edge cloud and big data solutions.

Position: PySpark Data Engineer

Location: Bangalore
Walk-in Date: 8th August
Experience Required: 5 - 10 Years

Required Technical Skills
Python Programming
PySpark
Big Data Technologies
Hadoop Ecosystem
Hive, Impala
SQL
AWS Services:
EMR
S3
IAM
Lambda
SNS
SQS
Redshift
Unix/Linux
HDFS Commands

Key Responsibilities
Design, develop, and optimize scalable data pipelines using PySpark and Big Data technologies.
Work on enterprise-level Data Engineering and Data Analytics projects.
Develop and maintain ETL processes for large-scale datasets.
Analyze and troubleshoot Spark jobs using Spark UI and performance tuning techniques.




Write efficient SQL queries involving joins, subqueries, CTEs, and complex data transformations.
Collaborate with cross-functional teams to understand business requirements and deliver data solutions.
Work with AWS cloud services including EMR, S3, Lambda, SNS, SQS, IAM, and Redshift.
Implement best practices for data quality, governance, and performance optimization.

Must-Have Skills

Solid experience in:
Hadoop
Spark / PySpark
Python
Hive
Impala
SQL
Data Engineering Projects
Unix/Linux Workplace
HDFS Commands

Positive-to-Have Skills

Experience with:
Spark UI Monitoring and Optimization
Performance Tuning & Debugging
Python Scripting
Advanced SQL Concepts
Joins
Subqueries
CTEs
Database Technologies
AWS Cloud Services (EMR, S3, IAM, Lambda, SNS, SQS, Redshift)

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