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Data Engineer

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Hybrid

Data Engineer

Deloitte US-India Offices

Data Engineer

Skills

Big DataData EngineeringPythonAWS LambdaKafkaAmazon RedshiftAWSPySparkHadoop

2 months ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Hybrid

Published on:

2 September 2026

What they need


Roles and Responsibilities

  • Design, develop, test, deploy, and maintain large-scale data pipelines using AWS services such as S3, Lambda, Step Functions, etc.
  • Collaborate with cross-functional teams to gather requirements and design solutions that meet business needs.
  • Develop scalable and efficient ETL processes using PySpark on Python to process large datasets from various sources.
  • Ensure high availability and performance of the system by monitoring its metrics and implementing improvements.

Desired Candidate Profile

  • 7-11 years of experience in Data Engineering with expertise in Big Data technologies like Hadoop ecosystem (HDFS), Spark (PySpark), Kafka.
  • Bachelor's degree in Any Specialization (B.Tech / B.E.).
  • Strong understanding of AWS cloud platform including S3 buckets, Lambda functions, Step Functions, Redshift tables etc.

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