Unlocking Business Potential: Cloud Data Engineering Opportunities

4 days ago

Gandhinagar, Gujarat, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 30,00,000
Key Data Engineer Position

Job Summary:

  • Implement scalable data pipelines using AWS, Python, and SQL to support business intelligence across multiple domains.
  • Design and ensure the integrity, security, and performance of data processing and storage systems.

About the Role:

The Data & Analytics team focuses on designing, building, and optimizing data warehousing and data lake solutions that power a range of 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.

As a Data Engineer, you will implement robust data pipelines using AWS, Python, and SQL to underpin comprehensive business analytics and data-driven decision-making processes. You will design and ensure the integrity, security, and performance of data processing and storage systems, while also creating and managing data lakes and data warehouses that support various analytical needs.

Responsibilities:

  • Implement robust data pipelines using AWS, Python, and SQL to support business intelligence across multiple domains.
  • Design and ensure the integrity, security, 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 and address technical and design 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 and compliance.
  • Support the data management team in daily operations and long-term projects.

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