High-Performance Data Specialist

2 days ago

Meerut, Uttar Pradesh, India beBeeData Full time ₹ 1,00,00,000 - ₹ 2,00,00,000

**Job Title:** Data Engineer

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Our company is seeking a talented Data Engineer to join our team. In this role, you will design and implement scalable batch processing systems using Python and big data technologies.

Role Overview

As a Data Engineer at our company, you will be responsible for designing, building, and maintaining high-performance data pipelines that process large amounts of data. You'll work on optimizing our existing systems, identifying and resolving performance bottlenecks, and implementing solutions that improve the overall efficiency of our platform.

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
  • Stay current with emerging big data technologies and best practices
Qualifications Required

To be successful in this role, you will need:

  • A 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
  • Ability to work in a collaborative team environment

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