High-Performance Data Pipeline Specialist

2 days ago


Kanpur, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000

About Us

We're looking for a talented Data Engineer to help us scale and optimize our data processing capabilities.

Role Overview

You will design, build, and maintain high-performance data pipelines that process terabytes 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
  • Stay current with emerging big data technologies and best practices

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
  • Ability to work in a collaborative team environment
  • Good communication skills to explain complex technical concepts
  • Self-motivated with the ability to work independently
  • Possession of a valid UK driving license is not required

Benefits

  • A competitive salary and benefits package
  • Opportunities for career growth and professional development
  • A collaborative and dynamic work environment
  • The chance to work with a talented team of professionals

Others

  • Prior experience working with SEO data or web crawling systems is desirable
  • Prior experience with Clickhouse Database is desirable
  • Familiarity with distributed systems and microservices architecture is desirable
  • Familiarity with container orchestration (Kubernetes, Docker) is desirable
  • Knowledge of real-time data processing is desirable
  • Contributions to open-source projects are desirable
  • Prior experience with machine learning operations is desirable


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