Data Architect

11 hours ago

Ahmedabad, Gujarat, India beBeeData Full time ₹ 1,04,000 - ₹ 1,30,878

Job Title: Data Architect

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  • We are seeking a highly skilled Data Architect to design, build, and maintain scalable and efficient data pipelines and ETL processes.
  • The ideal candidate will have experience in developing and optimizing Clickhouse databases for high-performance analytics.
  • Responsibilities will include creating RESTful APIs using FastAPI to expose data services and working with Kubernetes for container orchestration and deployment of data services.
  • A strong understanding of complex SQL queries is required, including extracting, transforming, and analyzing data from PostgreSQL and Clickhouse.
  • The Data Architect will collaborate with data scientists, analysts, and backend teams to support data needs and ensure data quality.
  • Maintaining the performance of data infrastructure, troubleshooting issues, and improving efficiency will be key responsibilities.
  • Expertise in SQL query optimization, performance tuning, and data modeling is essential.
  • Proficiency in Python, especially for data processing (Pandas, NumPy) and scripting, is necessary.
  • Experience with FastAPI for creating lightweight APIs and microservices, as well as knowledge of software engineering best practices, is desired.
  • Familiarity with cloud platforms like AWS, GCP, or Azure, and knowledge of data warehousing and distributed data systems, is also beneficial.
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Requirements:

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

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  • Opportunity to work with cutting-edge technologies and contribute to the development of innovative solutions.
  • Collaborative and dynamic work environment.
  • Ongoing training and professional development opportunities.

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