Chief Data Architect

1 day ago

Vijayawada, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 18,00,000 - ₹ 24,00,000

We're seeking a talented Data Engineering professional to help us scale and optimize our data processing capabilities. This is an excellent opportunity for someone who thrives in a collaborative team environment and has a passion for performance optimization and efficiency.

Job Description:

We're looking for a skilled Big Data Engineer to design, build, and maintain high-performance data pipelines that process terabytes of data. As a key member of our Professional Services team, you'll work on optimizing our existing systems, identifying and resolving performance bottlenecks, and implementing solutions that improve the overall efficiency of our platform.

Main 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 and Skills:

  • 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

About the Role:

This is a full-time position based in the UK timezone (12 PM IST to 9:30 PM IST). The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and a commitment to delivering high-quality results.

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