Data Systems Engineer

1 week ago


Hyderabad, Telangana, India beBeeDataSystems Full time ₹ 50,00,000 - ₹ 1,00,00,000

About the Role

We are seeking a skilled Data Systems Engineer to design, build, and maintain our Enterprise Data Platform. The successful candidate will have a passion for data engineering and analytics, with expertise in data modeling, algorithm development, and data pipeline construction.

Key Responsibilities

  • Design and develop the data infrastructure for our new Enterprise Data Platform using Snowflake and Fivetran.
  • Lead the development of data models, algorithms, data pipelines, and insights to enable data-driven decision-making.
  • Collaborate with team members to shape the design and direction of the data platform.
  • Work end-to-end on data products, from problem understanding to developing data pipelines, dimensional data models, and visualizations.
  • Provide support and advice to business users, including data preparation for predictive and prescriptive modeling.
  • Evaluate and recommend new data tools or processes.
  • Design, develop, and deploy scalable AI/Generative AI and machine learning models as needed.
  • Provide day-to-day production support to internal business unit customers, implementing enhancements and resolving defects.
  • Maintain awareness of emerging trends in AI, Generative AI, and machine learning to enhance existing systems and develop innovative solutions.

The Impact You Will Have

  • Drive the development of a cutting-edge data platform that supports enterprise-wide data initiatives.
  • Enable data-driven decision-making across the organization through robust data models and insights.
  • Enhance the efficiency and effectiveness of data management processes.
  • Support business users in leveraging data for predictive and prescriptive analytics.
  • Innovate and integrate advanced AI and machine learning solutions to solve complex business challenges.
  • Contribute to the overall success of the organization by ensuring high-quality data infrastructure and analytics capabilities.

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