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3 Weeks ago

AWS Data Engineer - ETL/PySpark

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Bangalore, Karnataka, India
Information Technology
Full-Time
Deqode

Overview

Here Is The Job Description

Location : Viman Nagar, Pune

Mode : 5 Days Working

Required Tech Skills

  • Proficient in PySpark and Python, with expertise in developing scalable data processing solutions.
  • Strong understanding of Data Structures, enabling efficient algorithm design and implementation.
  • Skilled in SQL query optimization, ensuring performance efficiency in data retrieval and manipulation.
  • Expertise in NoSQL databases, understanding schema design and integration with large-scale applications.
  • Solid fundamentals of Object-Oriented Programming (OOPs) for building modular and maintainable code.
  • Hands-on experience with AWS Cloud services, leveraging cloud infrastructure for data processing and analytics.
  • Expertise in Big Data technologies, including distributed computing and large-scale data processing.
  • Experience with Data Lakes, ensuring structured and semi-structured data storage and retrieval.
  • Proficient in AWS Glue for ETL processes, transforming raw data into meaningful insights.
  • Skilled in AWS Athena, executing complex queries on large datasets stored in Amazon S3.
  • Hands-on experience with AWS Kinesis, managing real-time data ingestion and processing.
  • Knowledge of AWS S3, utilizing cloud storage for scalable and cost-effective data solutions.
  • Experience in integrating PySpark with AWS services, optimizing performance in data processing workflows.
  • Strong problem-solving skills, with the ability to optimize Spark jobs and enhance computational efficiency.
  • Capable of designing and developing data-driven solutions, catering to modern business requirements.

(ref:hirist.tech)
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