Lead Data Cloud Architect

4 days ago


Guntur, Andhra Pradesh, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

**Cloud Data Engineer Position Overview**

We are seeking a highly skilled Cloud Data Engineer to join our team. The ideal candidate will have experience with Databricks, including Spark SQL and Delta Lake implementations.

This is an excellent opportunity for a data professional to apply their expertise in cloud-based platforms and innovative technologies like Databricks. The successful candidate will be responsible for designing and implementing data lake architectures, ensuring scalability, reliability, and cost-efficiency.

The role requires strong analytical and problem-solving skills, as well as the ability to work collaboratively with cross-functional teams.

Key Responsibilities:

  • Analyze existing data warehouse implementations to support migration and consolidation efforts.
  • Reverse-engineer legacy stored procedures (PL/SQL, SQL) and translate business logic into scalable Spark SQL code within Databricks notebooks.
  • 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.
  • Evaluate and optimize data models (Star, Snowflake, Flattened) for performance and scalability in the new platform.
  • Document ETL processes, data flows, and transformation logic to ensure transparency and maintainability.
  • Perform foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.

Requirements and Qualifications:

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field.
  • 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 is a plus.
  • Experience working in Agile environments and contributing to iterative development cycles.


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