Cloud Data Architect

2 days ago

Allahabad, Uttar Pradesh, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 25,00,000

About this role

We're seeking a Cloud Data Engineer to manage our cloud data platform, utilizing their skills in Databricks and AWS. This position involves applying expertise to make the platform more scalable, reliable, and cost-efficient.

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 in 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.

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.
  • 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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