Description

Design and maintain scalable JSON-based data models and ingestion pipelines using Azure and MongoDB.

This role is hybrid.

Responsibilities

• Design and maintain JSON-based data models, including schema evolution, versioning, and migration strategies.
• Build and manage data ingestion and curation pipelines using Azure Databricks, Azure Data Factory, and Azure Synapse.
• Develop and optimize PySpark pipelines for scale, performance, and cost efficiency.
• Apply best practices for indexing, partitioning, and sharding to optimize MongoDB collection performance.
• Collaborate with business and analytics stakeholders to translate requirements into scalable data solutions.

Required Skills

• 5+ years of experience in data engineering.
• Strong hands-on experience with MongoDB and JSON data modeling.
• Advanced SQL and PySpark skills, including Spark SQL and performance tuning.
• Experience with Azure Databricks, Azure Data Factory (ADF), and Azure Synapse.
• Proven ability to manage schema evolution and backward compatibility.
• Experience with data governance, privacy, and metadata standards.
• Any Graduate education level.

Key Skills

Education

Any Gradute