Chief Data Architect

2 days ago

Mysore, Karnataka, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000
Job Title

As a seasoned data engineer, you will be responsible for designing, building and maintaining high-performance data pipelines that process large volumes of data.

Key Responsibilities:

  • 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
  • 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)
  • Experience with real-time data processing
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
  • Passion for performance optimization and efficiency

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