High-Performance Data Pipeline Architect

2 days ago


Thrissur, Kerala, India beBeeDataEngineer Full time ₹ 1,80,00,000 - ₹ 2,20,00,000

We're seeking a highly skilled Big Data Engineer to help us scale and optimize our data processing capabilities.

As a key member of our team, you'll design, build, and maintain high-performance data pipelines that process terabytes of data. Your focus will be on optimizing existing systems, identifying performance bottlenecks, and implementing solutions to improve overall efficiency.

Key Responsibilities:

  • Design 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 issues
  • Reduce P95 and P99 latency metrics across our data platform
  • Build efficient ETL pipelines for 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
  • Document data architecture and engineering processes

Qualifications Required:

  • 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)

Preferred Qualifications:

  • 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)

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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