Senior Data Engineer

15 hours ago

Kozhikode, Kerala, India beBeeData Full time ₹ 20,00,000 - ₹ 25,00,000

Job Opportunity:

This is an exciting opportunity to leverage your expertise in analytics and data engineering to drive business growth.

The ideal candidate will possess a strong blend of functional and technical expertise, with a keen eye for detail and the ability to collaborate effectively with cross-functional teams.

Key Responsibilities:

  • Data Management & Analytics (40%):
  • Analyze and interpret data to identify trends, opportunities, and areas for improvement.
  • Develop and maintain data models to support analytics and reporting.
  • Design dimensional models and star schemas to effectively organize retail data including sales, inventory, customer behavior, and product performance metrics
  • Collaborate with business stakeholders to translate analytical requirements into efficient data structures and ensure models align with reporting needs
  • Data Quality Management & Governance (20%):
  • Develop and implement comprehensive data quality frameworks and monitoring systems to ensure accuracy, completeness, and consistency of retail and e-commerce data
  • Lead root cause analysis of data quality issues and implement preventive measures to minimize future occurrences
  • Implement data cleansing and enrichment processes to improve the overall quality of historical and incoming data
  • Project and Team Management (30%):
  • Lead end-to-end analytics projects from initiation to delivery, ensuring adherence to timelines, budgets, and quality standards
  • Coordinate cross-functional project teams including data engineers, analysts, and business stakeholders to achieve project objectives
  • Mentor junior team members and provide technical guidance on analytics engineering best practices and methodologies

Key Qualifications:

  • Education: Bachelor's degree in Computer Science, Data Science, Engineering, or related field.
  • Experience: 6+ years of experience in analytics and data engineering.

Technical Skills:

  • Proficiency in SQL and database technologies
  • Core expertise with dbt (data build tool).
  • Familiarity with cloud platforms (e.g., AWS, Google Cloud).
  • Knowledge of Python or R.

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