High-Performance Data Specialist

4 days ago

Chennai, Tamil Nadu, India beBeeDataEngineer Full time ₹ 30,00,000 - ₹ 42,00,000
Key Data Engineer Role

We are seeking a highly skilled data engineer to join our professional services team. As a key member of our engineering team, you will design, build, and maintain high-performance data pipelines that process large volumes of data.

This role is critical in ensuring our data infrastructure can handle increasing volumes of data while maintaining exceptional performance standards.

You will work on optimizing our existing systems, identifying and resolving performance bottlenecks, and implementing solutions that improve the overall efficiency of our platform.

In this role, you will collaborate with data scientists and product teams to understand data requirements, monitor and troubleshoot data pipeline issues in production, and implement data quality checks and validation mechanisms.

  • Design and implement scalable batch processing systems using Python and big data technologies
  • Optimize database performance, focusing on slow-running queries and latency improvements
  • Use Python profilers and performance monitoring tools to identify bottlenecks
  • Reduce P95 and P99 latency metrics across our data platform
  • Build efficient ETL pipelines that can handle large-scale data processing
  • Collaborate with data scientists and product teams to understand data requirements
  • Monitor and troubleshoot data pipeline issues in production
  • Implement data quality checks and validation mechanisms

Required Skills and Qualifications:

  • 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

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