High-Performance Data Architect

5 days ago


Malappuram, Kerala, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

As a Senior Data Engineer, you will play a crucial role in our organization's data infrastructure. Your primary responsibility will be to design and build high-performance data pipelines that process massive amounts of data. You'll work on optimizing existing systems, identifying performance bottlenecks, and implementing solutions to improve overall efficiency.

Key Responsibilities include:

  • Designing scalable batch processing systems using Python and big data technologies
  • Optimizing database performance by focusing on slow-running queries and latency improvements
  • Using Python profilers and performance monitoring tools to identify bottlenecks
  • Reducing P95 and P99 latency metrics across our data platform
  • Building efficient ETL pipelines that can handle large-scale data processing
  • Collaborating with data scientists and product teams to understand data requirements
  • Monitoring and troubleshooting data pipeline issues in production
  • Implementing data quality checks and validation mechanisms
  • Documenting data architecture and engineering processes

Requirements include:

  • 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

Preferred qualifications include:

  • Master's degree in Computer Science or related field
  • Experience with SEO data or web crawling systems
  • Experience with Clickhouse Database
  • Knowledge of distributed systems and microservices architecture
  • Familiarity with container orchestration (Kubernetes, Docker)
  • Experience with real-time data processing
  • Contributions to open-source projects

Skills and Abilities required include:

  • 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
  • Passion for performance optimization and efficiency

Our ideal candidate is someone who is passionate about performance optimization and efficiency, with strong analytical thinking and problem-solving skills. If you're looking for a challenging role where you can apply your skills and knowledge to drive business results, we encourage you to apply.



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