Expert Cloud Data Solutions Architect

1 day ago

Ahmedabad, Gujarat, India beBeeDataEngineer Full time ₹ 1,50,00,000 - ₹ 2,00,00,000
Job Description

We are looking for a talented Cloud Data Engineer to join our team. The successful candidate will be responsible for managing and maintaining our cloud data platform, ensuring it is scalable, reliable, and cost-efficient.

The ideal candidate will have experience working with Databricks, including Spark SQL and Delta Lake implementations. Strong SQL and PL/SQL skills, as well as proficiency in at least one programming language (Python, Scala, Java), are also essential.

In this role, you will design and develop data lake solutions on AWS using S3 and Delta Lake architecture, leveraging Databricks for processing and transformation. You will also collaborate with data architects to implement ingestion and transformation frameworks aligned with enterprise standards.

A bachelor's degree in Computer Science, Information Technology, Data Engineering, or related field, and 5+ years of experience working with Databricks, are required. Additionally, experience working in Agile environments and contributing to iterative development cycles is highly valued.

Requirements
  • 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.
About Us

We are a forward-thinking organization that values innovation and collaboration. We offer a dynamic work environment, opportunities for professional growth, and a competitive salary package.

If you are passionate about data engineering and want to join a talented team of professionals, please submit your application.

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