Chief Data Processing Specialist

7 days ago

Allahabad, Uttar Pradesh, India beBeeData Full time ₹ 18,00,000 - ₹ 22,00,000
Big Data Engineer Position

We're looking for a skilled data engineer to join our professional services team.

The ideal candidate will have experience designing and implementing scalable batch processing systems, optimizing database performance, and reducing latency metrics. They should also be proficient in Python programming, big data technologies, and cloud platforms.

This is a critical role that requires strong analytical thinking, problem-solving skills, and attention to detail. The successful candidate will work closely with our data scientists and product teams to understand data requirements and implement efficient ETL pipelines.

We offer a dynamic and collaborative work environment where you can apply your skills and knowledge to make a real impact on our business.

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

Required Skills and Qualifications:

  • 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 effectively in a collaborative team environment

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
  • Experience with machine learning operations

Skill and Abilities:

  • Strong analytical thinking and problem-solving skills
  • Excellent attention to detail and commitment to data quality
  • Good communication skills to explain complex technical concepts
  • Self-motivated with the ability to work independently
  • Prioritization and organization abilities

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