Senior Data Infrastructure Specialist

2 days ago

Alwar, Rajasthan, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,40,00,000
Job Title: Senior Data Engineer

We are seeking an experienced Senior Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with expertise in designing, building, and maintaining high-performance data pipelines.

The Senior Data Engineer will play a critical role in scaling and optimizing our data processing capabilities, ensuring the integrity and quality of our data infrastructure. This includes working on optimizing existing systems, identifying and resolving performance bottlenecks, and implementing solutions that improve the overall efficiency of our platform.

This is a challenging opportunity for a talented data engineer to make a significant impact on our business. If you have a passion for performance optimization and efficiency, and enjoy working collaboratively as part of a team, we encourage you to apply.

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.
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.
Benefits:
  • A competitive salary and benefits package.
  • Ongoing training and development opportunities.
  • A collaborative and dynamic work environment.
  • The chance to work on challenging projects and make a real impact on our business.

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