Data Architect and Optimization Specialist

2 weeks ago


Ghaziabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Big Data Engineer Position

We're seeking an experienced Big Data Engineer to join our team. As a critical component of our data infrastructure, you will be responsible for designing, building, and maintaining high-performance data pipelines that process terabytes of data.

Your primary goal will be to optimize our existing systems, identify and resolve performance bottlenecks, and implement 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
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)
About Us

We're a leading SEO and content performance marketing platform transforming online content into tangible business results. Our platform processes massive amounts of data to provide actionable insights to clients.

This is a remote opportunity, requiring UK timezone availability from 12 PM IST to 9:30 PM IST.


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