Expert Data Solutions Designer

14 hours ago


Delhi, Delhi, India beBeeData Full time ₹ 18,00,000 - ₹ 25,15,000
Unlock Your Potential as a Data Architect

Embark on a rewarding career as a Data Architect, where you'll have the opportunity to design and implement cutting-edge data solutions that drive business growth and innovation.

  • Job Summary:
  • As a Data Architect, you will be responsible for developing scalable, secure, and efficient data platforms using Databricks. You will collaborate with cross-functional teams to design and implement data pipelines, architect data lakes, and deploy machine learning models.
  • Key Responsibilities:
  • Design and implement Databricks solutions that meet client requirements.
  • Develop data pipelines, architect data lakes, and implement data warehousing solutions using Databricks.
  • Collaborate with data scientists and analysts to develop and deploy machine learning models and analytics solutions on Databricks.
  • Optimize Databricks cluster performance, ensuring efficient resource utilization and cost-effectiveness.
  • Implement Databricks security features, ensure data governance, and maintain compliance with industry regulations.
  • Work closely with clients to understand their business requirements, provide technical guidance, and deliver high-quality Databricks solutions.
Requirements

To succeed in this role, you should possess:

  • Databricks Experience:
  • 5+ years of experience working with Databricks, including platform architecture, data engineering, and data analytics.
  • Technical Skills:
  • Proficiency in languages such as Python, Scala, or Java, and experience with Databricks APIs, Spark, and Delta Lake.
  • Data Engineering:
  • Strong background in data engineering, including data warehousing, ETL, and data governance.
  • Leadership:
  • Proven experience leading technical teams, mentoring junior engineers, and driving technical initiatives.
  • Communication:
  • Excellent communication and interpersonal skills, with the ability to work effectively with clients and internal stakeholders.
Good to Have

The following skills and qualifications are highly desirable:

  • Certifications:
  • Databricks Certified Professional or similar certifications.
  • Cloud Experience:
  • Experience working with cloud platforms such as AWS, Azure, or GCP.
  • Machine Learning:
  • Knowledge of machine learning concepts and experience with popular ML libraries.


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