Senior Data Engineer

13 hours ago

Tiruppur, Tamil Nadu, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,50,00,000
About the Role

We are seeking an experienced Data Engineer to join our team. The successful candidate will be responsible for designing, developing and maintaining scalable ETL pipelines using Python to support data ingestion, transformation and integration from multiple sources.

The role requires strong analytical and problem-solving skills with a keen attention to detail. You should be comfortable working independently and have excellent communication skills to present data-driven insights to non-technical stakeholders.

You will work closely with cross-functional teams including customer success, sales and marketing to support commercial strategies with data solutions. You will analyze customer and operational data to identify trends, patterns and opportunities that support revenue growth and improve customer engagement.

Responsibilities
  1. Data Engineering: Design, develop and maintain scalable ETL pipelines using Python to support data ingestion, transformation and integration from multiple sources.
  2. A/B Testing: Develop and maintain A/B testing frameworks, track key metrics and analyze experiment results to inform product strategies.
  3. Product Strategy: Work closely with the product team to develop and drive product strategy and new feature development.
  4. Data Analysis: Analyze customer and operational data to identify trends, patterns and opportunities that support revenue growth and improve customer engagement.
  5. Dashboards and Reports: Develop and maintain dashboards and reports using SQL and data visualization tools like Looker, Tableau or Power BI to present insights to stakeholders.
  6. SQL Query Optimization: Write and optimize complex SQL queries for data analysis and support decision-making processes.
Requirements
  1. Bachelor's degree in Computer Science, Data Engineering, Statistics, Mathematics or a related field.
  2. 5+ years of experience in data engineering, ETL development or a related role.
  3. Strong proficiency in Python, with experience in building ETL workflows and data processing scripts.
  4. Advanced SQL skills, including query optimization and database modeling.
  5. Proficiency with data visualization tools (e.g., Tableau, Power BI or Looker).
  6. Familiarity with A/B testing methodologies and ability to analyze experiment results.
  7. Solid understanding of Excel, including advanced functions and pivot tables.

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