Description

You will design, develop, and optimize scalable data pipelines and workflows within the Azure cloud environment.

This role is remote.

Responsibilities

• Build and maintain scalable data pipelines using Databricks, PySpark, and Python.
• Process structured and unstructured data in cloud-based environments.
• Implement data transformation, cleansing, and integration solutions.
• Tune ETL performance and ensure data quality across lake and warehouse architectures.
• Collaborate with data engineers and stakeholders to meet business requirements.

Required Skills

• 5+ years of experience in data engineering roles.
• Expertise in Databricks, Python, and PySpark.
• Hands-on experience with Apache Spark and big data processing.
• Proficiency in SQL.
• Experience working within the Azure cloud platform.
• Proven track record with ETL development and performance tuning.
• Knowledge of data lake, data warehouse, and data modeling principles.

Preferred Skills

• Any Graduate degree.

Key Skills

Education

Any Graduate