Cloud Data Platform Specialist

4 days ago

Kottayam, Kerala, India beBeeData Full time ₹ 80,00,000 - ₹ 1,50,00,000

We are seeking an experienced Cloud Data Engineer to join our team.

The ideal candidate will have a strong background in designing and implementing cloud-based data platforms using Databricks and related technologies.

This role requires a deep understanding of data modeling, warehouse design principles, and experience working with data lakes on Databricks.

The successful candidate will be responsible for analyzing and understanding existing data warehouse implementations, reverse-engineering legacy stored procedures, and designing scalable data lake solutions on AWS.

Key responsibilities include:

  • Analyzing and understanding existing data warehouse implementations to support migration and consolidation efforts.
  • Reverse-engineering legacy stored procedures and translating business logic into scalable Spark SQL code within Databricks notebooks.
  • Designing and developing data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation.
  • Building and maintaining robust data pipelines using ETL tools with ingestion into S3 and processing in Databricks.
  • Collaborating with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.
  • Evaluating and optimizing data models for performance and scalability in the new platform.
  • Documenting ETL processes, data flows, and transformation logic to ensure transparency and maintainability.
  • Performing foundational data administration tasks including job scheduling, error troubleshooting, performance tuning, and backup coordination.
  • Working closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.
  • Participating in Agile ceremonies and contributing to sprint planning, retrospectives, and backlog grooming.
  • Triage, debugging, and fixing technical issues related to Data Lakes.
  • Maintaining and managing Code repositories like Git.

Qualifications:

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

Required Skills:

  • 5+ years of experience working with Databricks, including Spark SQL and Delta Lake implementations.
  • 3+ years of experience in designing and implementing data lake architectures on Databricks.
  • 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).
  • Experience working in Agile environments and contributing to iterative development cycles.

Preferred Skills:

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

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