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Chief Big Data Architect

2 weeks ago

Guntur, Andhra Pradesh, India beBeeDataEngineer Full time US$ 1,80,000 - US$ 2,00,000

Job Role: Senior Data Engineer

Overview:

We are seeking a skilled Data Engineer to design, build and maintain high-performance data pipelines that process large amounts of data. The ideal candidate will have strong expertise in big data technologies and experience working with data processing systems.

Key Responsibilities:

  • Data Pipeline Design: Develop scalable batch processing systems using Python and big data technologies to meet the needs of our business.
  • Database Optimization: Optimize database performance by focusing on slow-running queries and latency improvements to ensure smooth data processing.
  • Performance Monitoring: Use Python profilers and performance monitoring tools to identify bottlenecks in our data pipeline and implement fixes.
  • ETL Pipelines: Build efficient ETL pipelines that can handle large-scale data processing tasks.
  • Collaboration: Work closely with data scientists and product teams to understand data requirements and deliver solutions that meet their needs.
  • Troubleshooting: Monitor and troubleshoot data pipeline issues in production to minimize downtime.
  • Data Quality: Implement data quality checks and validation mechanisms to ensure accurate and reliable data.
  • Documentation: Document data architecture and engineering processes to facilitate knowledge sharing and best practices.

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).