Senior Data Expert

7 days ago

Delhi, Delhi, India beBeeData Full time ₹ 15,00,000 - ₹ 22,50,000

About this role

As a seasoned data expert, you will be responsible for designing, building, and maintaining high-performance data pipelines that process large volumes of information. Your work will involve optimizing existing systems, identifying and resolving performance bottlenecks, and implementing solutions to improve the overall efficiency of our platform.

Main responsibilities

  • Design and implement scalable batch processing systems using Python and relevant technologies
  • Optimize database performance, focusing on slow-running queries and latency improvements
  • Use profiling tools to identify areas of improvement
  • Reduce latency metrics across our data platform
  • Build efficient ETL pipelines that can handle large-scale data processing
  • Collaborate with cross-functional teams to understand data requirements
  • Monitor and troubleshoot data pipeline issues in production
  • Implement data quality checks and validation mechanisms
  • Document data architecture and engineering processes

Requirements

  • Bachelor's degree in Computer Science, Engineering, or related technical field
  • 4+ years of experience in data engineering roles
  • Strong Python programming skills with focus on data processing libraries
  • Experience with big data technologies (Spark, Hadoop, etc.)
  • Proven experience optimizing database performance (SQL or NoSQL)
  • Knowledge of data pipeline orchestration tools (Airflow, Luigi, etc.)
  • Understanding of performance optimization techniques and profiling tools
  • Experience with cloud platforms (AWS, GCP, or Azure)
  • Ability to translate business requirements into technical specifications

Priorities

  • Maintain exceptional performance standards while handling increasing volumes of data
  • Stay current with emerging big data technologies and best practices
  • Collaborate effectively with cross-functional teams to achieve shared goals

Key skills and abilities

  • Strong analytical thinking and problem-solving skills
  • Excellent attention to detail and commitment to data quality
  • Ability to work effectively in a collaborative team environment
  • Good communication skills to explain complex technical concepts
  • Self-motivated with the ability to work independently

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