Advanced Data Engineer

1 day ago

Kanpur, Uttar Pradesh, India beBeeAnalytics Full time US$ 1,25,000 - US$ 1,75,000

About the Role:

As a Senior Analytics Engineer, you will play a crucial role in delivering high-quality integrated data assets that support analytical models and visualizations. Your expertise in engineering and analytics will help drive personalization opportunities across various teams and functions.

Key Responsibilities:

  • Gather and transform large sets of raw data into well-built integrated data assets using SQL, AWS Glue or other emerging technologies.
  • Recommend, build, and monitor robust and extensible data models that capture business performance from a customer experience lens.
  • Identify and execute data quality testing along critical check points and surface data drift or data anomalies.
  • Maintain a high standard for accuracy of data and build automated processes to catch issues proactively and report.
  • Be the expert in critical customer experience data assets and maintain a catalog for reference.
  • Lean into developing visualizations in Tableau and occasionally support data science teams with exploratory data analysis and KPI development.
  • Validate and performance-tune complex SQL queries.
  • Train team members on SQL, AWS, and Tableau best practices

Requirements:

  • Bachelor's degree in computer science, data science, or engineering
  • 3 to 6 years of relevant experience in data-driven solutions.
  • Expert in writing Advance / Complex SQL queries with strong experience in Python (NumPy & Pandas) and EDA and data processing / data infra tools such as AWS Glue, S3 or Redshift.
  • Proficient with Tableau or Power Bi (Must Have) for advanced visualization.
  • With focus on 60% Data Infrastructure (AWS focused - DE standpoint) + 40 % Analytics

Preferred Qualifications:

  • Understanding Gen AI
  • Working knowledge of statistical/machine learning tools (e.g., scikit-learn)
  • Prior experience with airlines or hospitality data a plus
  • Self-motivated and take pride in building great products for key stakeholders.
  • Resourceful in finding the data and tools you need to get the job done.
  • Not afraid to ask for help when you need it or help teammates when they need a boost.

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