Cloud Data Architect Specialist

5 days ago

Thoothukudi, Tamil Nadu, India beBeeData Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About the Role

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We are seeking an experienced Cloud Data Engineer to join our team. This is an exciting opportunity to build and scale our advanced analytics practice.

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The successful candidate will have a proven track record of designing and implementing data lake architectures on Databricks, with expertise in Spark SQL and Delta Lake implementations.

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In this role, you will be responsible for analyzing and understanding existing data warehouse implementations to support migration and consolidation efforts, as well as reverse-engineering legacy stored procedures (PL/SQL, SQL) and translating business logic into scalable Spark SQL code within Databricks notebooks.

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You will also work closely with cross-functional teams to ensure smooth transition and integration of data sources into the unified platform.

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Responsibilities:

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  • 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.">
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Qualifications:

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  • 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.">
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Preferred Skills:

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  • Databricks cloud certification is a big plus.">
  • Exposure to enterprise data governance and metadata management practices.">
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Why Join Us?

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We offer a dynamic and supportive work environment that fosters collaboration and innovation. Our team is passionate about delivering high-quality results and making a meaningful impact.

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Contact Information:

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