Advanced Data Engineering Specialist

2 days ago

Chennai, Tamil Nadu, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

About our company

We believe data and analytics drive future success. Our advanced analytics team solves complex problems, delivering growth and operational efficiencies across the business.

The Analytics team reports to the VP and Chief Data Officer, working closely with Corporate Strategy and the C-Suite.

We are building and scaling our advanced analytics practice. We're looking for a Cloud Data Engineer with experience in Databricks and related technologies.

This role involves managing our cloud data platform to make it more scalable, reliable, and cost-efficient. You will also work on additional projects using existing architecture or newer technologies where needed.

Responsibilities:

• 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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