Description

You will build and maintain data pipelines to support analytical workloads.

This role is on-site.

Responsibilities

• Design and implement data ingestion workflows using batch and incremental processing.
• Transform and validate data using advanced SQL techniques.
• Implement data lakehouse patterns, managing Bronze, Silver, and Gold layers.
• Manage data processing jobs leveraging Spark and Databricks.
• Maintain CI/CD workflows for data engineering assets.

Required Skills

• 5+ years of experience in Data Engineering.
• Strong hands-on experience with Apache Spark and Databricks.
• Expertise in SQL for complex data transformation and tuning.
• Practical experience with at least one major cloud platform (Azure, AWS, or GCP).
• Experience with batch ingestion and structured data transformations.
• Familiarity with Git-based version control and CI/CD pipelines.
• Knowledge of distributed data processing frameworks.

Preferred Skills

• Experience with streaming technologies like Kafka, Event Hubs, or Kinesis.
• Familiarity with Terraform or Infrastructure as Code principles.

Key Skills

Education

Any Gradute