Building Efficient Data Systems

1 week ago

Thiruvananthapuram, Kerala, India beBeeDataEngineer Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

Are you passionate about building efficient data pipelines? Do you thrive in fast-paced environments where innovation and ownership matter most?

This role involves designing, developing, and maintaining complex data systems that empower businesses to make informed decisions. As a Data Engineer, you will collaborate closely with cross-functional teams to ensure data quality, reliability, and accessibility for analytics, reporting, and product innovation.

Key Responsibilities:
  • Design and Develop Efficient Data Pipelines: Move data from multiple sources into data stores/warehouses using cost-effective solutions.
  • Collaborate with Cross-Functional Teams: Define data requirements, models, and metrics to drive business outcomes.
  • Manage and Optimize Data Storage Solutions: Ensure optimal performance and scalability of data storage solutions (Postgres, BigQuery, Redshift, or alternatives).
  • Ensure Data Quality and Governance: Validate and maintain data quality across all pipelines to support business intelligence and analytics use cases.
  • Implement Automation and Monitoring: Implement automation, monitoring, and alerting for data workflows to improve efficiency and reduce errors.
Requirements:
  • Expertise in Data Engineering Tools and Technologies: Proficiency in designing, developing, and maintaining large-scale data systems.
  • Strong Collaboration and Communication Skills: Ability to work effectively with cross-functional teams to drive business outcomes.
  • Problem-Solving and Analytical Skills: Strong analytical skills to troubleshoot complex data-related issues.
What We Offer:

A dynamic work environment that fosters innovation, ownership, and collaboration. Opportunities to work on challenging projects, grow your skills, and take on new responsibilities. A chance to make a meaningful impact on the business and drive results through data-driven decision-making.

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