Data Engineer with AWS Architecture Expertise

3 days ago

Salem, Tamil Nadu, India beBeeDataEngineering Full time ₹ 10,00,000 - ₹ 15,00,000

Role Overview

We're seeking a skilled Data Engineer with expertise in AWS architecture and data pipelines.

Key Responsibilities

  • Design robust data pipelines using AWS, Python, and SQL to drive business analytics.
  • Ensure data integrity and performance of data processing and storage systems.
  • Optimize data flows and architecture within AWS to enhance scalability and reliability.
  • Develop and maintain efficient ETL processes and APIs for data interaction.
  • Collaborate with cross-functional teams to gather and address technical requirements.
  • Maintain and enhance data models and databases to support diverse enterprise applications.
  • Monitor and troubleshoot operational or data issues in the data pipelines.
  • Continuously improve systems and processes by integrating new tools and technologies.
  • Document all data engineering procedures and solutions for future reference.
  • Support the data management team in daily operations.

Requirements

  • Expertise in AWS services such as S3, EC2, RDS, Redshift, and AWS Glue.
  • Proficiency in Python with a solid understanding of libraries and frameworks for data engineering.
  • Strong command of SQL for creating, managing, and optimizing data structures and complex queries.
  • Familiarity with orchestration tools and data integration techniques.
  • Understanding of data warehousing solutions and ETL processes.
  • Knowledge of data modeling and database design.
  • Ability to write clean, maintainable code adhering to best practices in code quality and security.
  • Experience with CI/CD pipelines for data operations in an AWS environment is beneficial.
  • Good grasp of Agile methodologies and project management practices.

Qualifications

  • Minimum of two years of experience in data engineering or a related field.
  • Strong proficiency in building and maintaining data pipelines in AWS environments.
  • Experience with Python for scripting and data manipulation.
  • Advanced SQL knowledge for complex querying and database interaction.
  • Bachelor's degree in computer science, Engineering, or a related field is preferred; equivalent practical experience is also considered.
  • Demonstrated ability to design and implement effective data warehousing and analytics solutions in cloud environments.

Our Team

The Data & Analytics team focuses on designing, building, and optimizing data warehousing and data lake solutions that power business analytics activities.

By gathering and analyzing data from diverse enterprise systems and operational sources, we aim to identify trends, improve operational efficiency, and derive insights that drive strategic decision-making.

Our goal is to equip stakeholders with timely, accurate, and actionable information to navigate complex market dynamics.

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