Lead Cloud Data Engineer

6 days ago

Udaipur, Rajasthan, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000
Cloud Data Engineer Role

About the Position:

We are on an exciting journey to build and scale our advanced analytics capabilities.

The Cloud Data Engineer will apply their skills to manage the existing cloud data platform to make it more scalable, reliable, and cost-efficient. They will also work on additional projects that would leverage the existing architecture in some cases and use newer technologies where needed.

  • Analyze and understand 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.
  • Work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.
  • Participate in Agile ceremonies and contribute to sprint planning, retrospectives, and backlog grooming.
  • Triage, debug, and fix technical issues related to Data Lakes.
  • Maintain and Manage Code repositories like Git.

Key Responsibilities Include:

  1. Developing and maintaining scalable and efficient data pipelines using ETL tools.
  2. Collaborating with data architects to design and implement data lake solutions.
  3. Optimizing data models for performance and scalability.
  4. Ensuring data integrity and security through documentation and testing.

What We Offer:

  • A dynamic and collaborative work environment.
  • Ongoing training and professional development opportunities.
  • A competitive salary and benefits package.

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