Senior Cloud Data Architect

2 days ago


Kanpur, Uttar Pradesh, India beBeeData Full time ₹ 8,00,000 - ₹ 14,00,000
Cloud Data Engineer Position

About the Role:

We are seeking a seasoned data architect to develop scalable and efficient cloud-based data platforms.

The ideal candidate will have extensive experience in building data products using Databricks and related technologies, and will be responsible for managing our existing cloud data platform to make it more scalable, reliable, and cost-efficient.

  • Design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.
  • Build and maintain robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks.
  • Collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.
  • Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability.

Key Responsibilities:

  • Develop data architectures that meet business requirements using Databricks, S3, and Delta Lake.
  • Implement ETL processes to extract, transform, and load data into our cloud data platform.
  • Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.
  • Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.

Required Skills:

  • 5+ years of experience working with Databricks, including Spark SQL and Delta Lake implementations.
  • Strong SQL and PL/SQL skills with the ability to interpret and refactor legacy stored procedures.
  • Hands-on experience with data modeling and warehouse design principles.
  • Proficiency in at least one programming language (Python, Scala, Java).

Preferred Skills:

  • Databricks cloud certification.
  • Exposure to enterprise data governance and metadata management practices.

Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field.

This position offers a competitive salary range based on experience and qualifications. The currency is INR (Indian Rupee).



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