High-Performance Data Engineer

6 days ago

Tiruppur, Tamil Nadu, India beBeeData Full time US$ 1,30,000 - US$ 1,70,000

Job Title: Data Architect

About the Role:

We are seeking a highly skilled Data Architect to design and build high-performance data pipelines that process large volumes of data.

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 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).
  • Ability to translate business requirements into technical specifications.

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.
  • Contributions to open-source projects.

What We Offer:

  • A challenging role with opportunities for growth and development.
  • A collaborative and dynamic work environment.
  • A competitive salary and benefits package.

How to Apply:

  1. Submit your resume and cover letter.
  2. Participate in a phone or video interview.
  3. Complete a technical assessment.

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