
Cloud Data Engineer
2 weeks ago
Transform Your Career with Advanced Analytics Expertise
Job OverviewAs a Cloud Data Engineer, you will play a pivotal role in shaping our advanced analytics practice. Your expertise in managing cloud data platforms, making them scalable, reliable, and cost-efficient, will drive business success.
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 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.
Achieve Success with Our Company
Our company is dedicated to providing a dynamic work environment where professionals can grow and thrive. If you're passionate about advanced analytics and eager to make a lasting impact, we invite you to explore this exciting opportunity.
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