Chief Data Architect

18 hours ago

Kolkata, West Bengal, India beBeeData Full time ₹ 1,04,000 - ₹ 1,30,878

Job Description

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  • Develop and implement robust data processing pipelines and analytics solutions utilizing Databricks.
  • Design and architect scalable, efficient data models and storage solutions tailored for the Databricks environment.
  • Migrate existing solutions to Databricks in collaboration with architecture and engineering teams.
  • Tune and optimize Databricks clusters and job performance to meet service level agreements (SLAs) and evolving business needs.
  • Implement best practices for data governance, security, and compliance on the Databricks platform.
  • Provide technical guidance and support to junior engineers while promoting best practice recommendations.
  • Stay informed about emerging data engineering trends and new features in Databricks and related technologies.

Required Skills and Qualifications

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  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.
  • 5-8 years of overall experience in data engineering, with a minimum of 2 years focused on Databricks.
  • Hands-on proficiency in Python, Scala, or SQL programming languages.
  • Solid understanding of distributed computing principles and big data frameworks like Apache Spark.
  • Experience with major cloud platforms (AWS, Azure, or GCP) and their respective data services.
  • Demonstrated ability to build scalable and reliable data solutions in dynamic environments.
  • Strong analytical and problem-solving skills with high attention to detail.
  • Effective communication and collaboration skills within cross-functional teams.

Benefits

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  • Opportunity to work with a cutting-edge technology like Databricks.
  • Chance to collaborate with experienced professionals in the field.
  • Flexibility to work on diverse projects and tasks.

Others

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  • Familiarity with containerization and orchestration tools such as Docker and Kubernetes is preferred.
  • Understanding of DevOps practices for automating deployments and monitoring data pipelines is beneficial.

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