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Cloud Data Architect

3 months ago


Delhi, Delhi, India USEReady Full time

Design and implement data architectures:

This involves analyzing business needs, selecting appropriate technologies, and creating blueprints for data ingestion, transformation, storage, and processing using Databricks.

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Build and optimize data pipelines: Develop efficient and reliable data flows that move data from various sources to destinations, ensuring data quality, performance, and security.
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Collaborate with stakeholders: Work closely with data engineers, analysts, and business users to understand requirements, translate them into technical solutions, and communicate effectively.
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Monitor and troubleshoot issues: Proactively identify and resolve performance bottlenecks, data quality problems, and other technical challenges in the data pipelines.
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Stay up-to-date with the latest technologies: Continuously learn about new features and capabilities of Databricks and related technologies to adapt and improve solutions.
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Document and share knowledge: Create clear and concise documentation of architectures, designs, and processes to ensure knowledge transfer and maintainability.

Qualifications:

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Experience: 12+ years of experience in data architecture or engineering with Databricks.

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Technical skills:

  • Proficiency in SQL, Python, and Scala.
  • Understanding of big data concepts and frameworks (Spark, Hadoop, etc.).
  • Knowledge of cloud platforms (AWS, Azure, GCP) is a plus.
  • Familiarity with data security and governance best practices.
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Soft skills:

  • Excellent communication and collaboration skills.
  • Problemsolving and analytical skills.
  • Ability to work independently and as part of a team.