Data Specialist

4 days ago

Noida, Uttar Pradesh, India beBeeDataSpecialist Full time ₹ 1,40,000 - ₹ 28,00,000

Job Title: Data Specialist

We are seeking a skilled professional to build and maintain efficient data pipelines, optimize query performance, and develop APIs to support scalable data services. The ideal candidate will have strong hands-on experience in ClickHouse, Kubernetes, SQL, and Python.

About the Role:

  • Data Modeling: Design, build, and maintain scalable and efficient data pipelines and ETL processes.
  • Database Development: Develop and optimize ClickHouse databases for high-performance analytics, including data modeling, query optimization, and performance tuning.
  • API Development: Create RESTful APIs using FastAPI to expose data services.
  • Container Orchestration: Work with Kubernetes for container orchestration and deployment of data services.
  • Data Analysis: Write complex SQL queries to extract, transform, and analyze data from PostgreSQL and ClickHouse.
  • Collaboration: Collaborate with data scientists, analysts, and backend teams to support data needs and ensure data quality.
  • Troubleshooting: Monitor, troubleshoot, and improve the performance of data infrastructure.

Skill Requirements:

  • Strong Experience: Strong experience in ClickHouse (data modeling, query optimization, performance tuning).
  • SQL Expertise: Expertise in SQL, including complex joins, window functions, and optimization.
  • Python Proficiency: Proficient in Python, especially for data processing (Pandas, NumPy) and scripting.
  • FastAPI Experience: Experience with FastAPI for creating lightweight APIs and microservices.
  • PostgreSQL Knowledge: Hands-on experience with PostgreSQL (schema design, indexing, and performance).
  • Kubernetes Understanding: Solid knowledge of Kubernetes (managing containers, deployments, and scaling).
  • Software Engineering Best Practices: Understanding of software engineering best practices (CI/CD, version control, testing).
  • Cloud Platforms: Experience with cloud platforms like AWS, GCP, or Azure is a plus.
  • Data Warehousing: Knowledge of data warehousing and distributed data systems is a plus.
  • Docker and Helm: Familiarity with Docker, Helm, and monitoring tools like Prometheus/Grafana is a plus.

Qualification:

  • Bachelor's Degree: Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

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