Senior Cloud Data Specialist

7 days ago

Kurnool, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 25,00,000
Job OverviewWe are seeking a skilled professional to fill the role of Data Engineer with AWS II.This position requires expertise in designing and implementing robust data pipelines using AWS, Python, and SQL.

Responsibilities
  • Design and implement data pipelines using AWS services such as S3, EC2, RDS, Redshift, and AWS Glue.
  • Ensure data integrity and performance of data processing and storage systems.
  • Optimize data flows and architecture within AWS to enhance performance, scalability, and reliability.
  • Develop and maintain scalable and efficient ETL processes and APIs for data interaction.
  • Collaborate with cross-functional teams to gather technical and design requirements.
  • Maintain and enhance data models and databases to support 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 reference and compliance.

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 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 code adhering to best practices in quality and security.

Qualifications
  • Minimum 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 effective data warehousing and analytics solutions in cloud environments.

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