Description

You will architect end-to-end cloud data solutions on Azure. This role is on-site.

Responsibilities

• Build scalable ETL/ELT pipelines using Spark, PySpark, and Databricks.
• Design ingestion, transformation, storage, governance, and consumption layers.
• Implement Azure services including Data Lake, Synapse, Event Hubs, Functions, and Key Vault.
• Establish data governance, lineage, security, and metadata frameworks.
• Partner with data scientists for feature engineering.

Required Skills

• 5+ years of experience in data architecture.
• Expertise in Azure services (Data Lake, Synapse, Event Hubs, Functions, Key Vault).
• Proficiency with Spark and PySpark.
• Hands-on experience with Databricks.
• Experience designing high-volume data pipelines.
• Ability to work with structured and semi-structured high-volume datasets.

Key Skills

Education

Any Gradute